JP2016202345A - Biological information processing system, biological information processing device, and analysis result information generation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a biological information processing system, a biological information processing device, an analysis result information generation method, etc. capable of creating and outputting appropriate analysis result information based on analysis processing using pulse wave information.SOLUTION: A biological information processing system 200 includes an acquisition unit 210 for acquiring pulse wave information, a processing unit 230 for executing pulse wave information analysis processing, and generating analysis result information, and an output unit 250 for outputting the generated analysis result information. The processing unit 230 generates first analysis result information for displaying an abnormal pulse wave period in a measurement period in an identifiable manner, and second analysis result information for displaying at least one of a pulse wave waveform and a pulse wave interval waveform at least in a partial period of the abnormal pulse wave period.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a biological information processing system, a biological information processing apparatus, a method for generating analysis result information, and the like.

  Arrhythmia is widely known as a cardiovascular disease. For example, atrial fibrillation, which is an example of an arrhythmia, needs to be treated at an early stage because a blood clot is formed in the heart and there is a risk of cerebral infarction. Conventionally, an atrial fibrillation test is generally performed by attaching a Holter electrocardiograph to a patient for 24 to 48 hours (generally 24 hours) and confirming the onset of atrial fibrillation based on the ECG during that period. It was.

  However, in the early stage of atrial fibrillation, the frequency of its occurrence is low, and a Holter electrocardiogram within 48 hours may miss atrial fibrillation that occasionally occurs. Asymptomatic atrial fibrillation is often not seen in hospitals because patients do not feel symptoms, and is often known as atrial fibrillation after it becomes severe (eg, after developing cerebral infarction). The reason why the Holter electrocardiograph cannot be used for a long time is that multiple electrodes need to be applied to the human chest, and the skin itself is covered by the electrodes themselves and the tape used to hold the electrodes. is there. In recent years, an electrocardiograph capable of recording for 40 days is also seen, but the problem of rash has not been solved, and it is not realistic to use it continuously for a long time.

  On the other hand, Patent Document 1 discloses a method for obtaining atrial fibrillation based on pulse wave information by accurately obtaining a parameter corresponding to the RR interval from the pulse wave information. The pulse wave information can be acquired by a pulse wave sensor such as a photoelectric sensor. And since the apparatus which has a pulse wave sensor is realizable as a wristwatch-type wearable device, for example, it becomes possible to wear continuously for a long time while suppressing the possibility of skin irritation.

JP 2013-55982 A

  By using pulse wave information as in Patent Document 1, it is possible to wear the device over a long period of time (for example, about 3 to 10 days). It becomes possible to do.

  However, although Patent Document 1 discloses a method for determining atrial fibrillation based on pulse wave information, there is no sufficient explanation about a method for appropriately presenting the determination result to a viewer. For example, since it becomes possible to acquire data over a long period of time as described above, if all of them are presented in detail, the burden on the viewer (doctor) is great. Also, a definitive diagnosis of whether or not an arrhythmia should be made by a doctor. Therefore, it is inappropriate to present only information such as whether or not the system has detected abnormal pulse waves, and it is also necessary to present detailed information sufficient for a doctor to diagnose that it is an arrhythmia. . In particular, pulse wave information is affected by body movement noise, etc., and its accuracy is inferior compared to the case of using an electrocardiogram, so a screen display for confirming whether the detection result of the pulse wave abnormality by the system is appropriate, etc. The need for is great.

  According to some aspects of the present invention, based on an analysis process using pulse wave information, a biological information processing system that generates and outputs appropriate analysis result information, a biological information processing apparatus, a method for generating analysis result information, and the like Can be provided.

  One aspect of the present invention is an acquisition unit that acquires pulse wave information, a processing unit that performs analysis processing of the pulse wave information and generates analysis result information, and an output unit that outputs the generated analysis result information. The processing unit includes first analysis result information for displaying the pulse wave abnormality period in the measurement period in an identifiable manner, and a pulse wave in at least a part of the pulse wave abnormality period. The present invention relates to a biological information processing system that generates second analysis result information for displaying at least one of a waveform and a pulse interval waveform.

  In one aspect of the present invention, first analysis result information that enables identification of a pulse wave abnormality period and second analysis result information that displays information in at least a part of the pulse wave abnormality period are generated. To do. In the method using pulse wave information, it is assumed that the measurement period is relatively long. However, the first analysis result information can display the outline of the generation timing of the pulse wave abnormality period in an easy-to-understand manner. . Furthermore, since the detailed information of the pulse wave abnormality period can be displayed by the second analysis result information, it is possible to appropriately display information necessary for a doctor's diagnosis or the like.

  In the aspect of the invention, the processing unit may generate information for displaying a reliability index of measurement of the pulse wave information within the measurement period as the first analysis result information. .

  This makes it possible to display the reliability index together with the display of the pulse wave abnormality period.

  In the aspect of the invention, the reliability index may be information based on at least one of user's body movement information and wearing state information of a measuring device worn on the user's body.

  This makes it possible to display a reliability index based on at least one of body motion information and wearing state information.

  In the aspect of the present invention, when the reliability index in the first pulse wave abnormality period is higher than the reliability index in the second pulse wave abnormality period, the processing unit Even if the second analysis result information is generated so that the analysis result information in the first pulse wave abnormality period is preferentially displayed compared to the analysis result information in the second pulse wave abnormality period. Good.

  Accordingly, when a plurality of pieces of analysis result information corresponding to a plurality of pulse wave abnormal periods are displayed by the second analysis result information, it is possible to change the display priority according to the reliability index.

  In the aspect of the invention, the processing unit may display the analysis result information in the first pulse wave abnormality period before the analysis result information in the second pulse wave abnormality period. In addition, the second analysis result information may be generated.

  Thereby, it becomes possible to display the analysis result information of the first abnormal pulse wave period with priority by setting the display position (display order) first.

  In the aspect of the invention, the processing unit may display the analysis result information in the second pulse wave abnormality period in a reduced size as compared with the analysis result information in the first pulse wave abnormality period. In addition, the second analysis result information may be generated.

  Thereby, it becomes possible to preferentially display the analysis result information of the first pulse wave abnormality period by relatively changing the display size.

  Moreover, in one aspect of the present invention, the processing unit determines an interval reliability for obtaining the reliability index in each interval within the measurement period based on at least one of a user's body motion information and the pulse wave information. Part may be included.

  This makes it possible to obtain a reliability index based on at least one of body motion information and pulse wave information.

  Moreover, in one aspect of the present invention, the processing unit includes a pulse interval calculation unit that obtains the pulse interval based on the pulse wave information, and the processing unit includes the pulse wave abnormality period based on the pulse interval. And the first analysis result information may be generated based on the result of the determination process in each section in the measurement period and the reliability index in each section. .

  Accordingly, it is possible to perform the pulse wave abnormality period determination process based on the pulse interval, and to generate the first analysis result information using the determination result and the reliability index.

  Moreover, in one aspect of the present invention, the processing unit, as the second analysis result information, includes user's body movement information and the user's wearing state information in the at least part of the pulse wave abnormality period. Information for displaying at least one of them may be generated.

  Accordingly, it is possible to display at least one of body movement information and wearing state information by the second analysis result information.

  In the aspect of the invention, the processing unit may generate information for displaying a display object representing the pulse wave abnormality period as the first analysis result information.

  Thus, by using the display object, the pulse wave abnormality period can be displayed in an identifiable manner.

  Moreover, in one aspect of the present invention, the processing unit displays, as the first analysis result information, the pulse wave abnormal period and a period other than the pulse wave abnormal period in different image display modes. May be generated.

  Thus, by changing the image display mode, it is possible to display the pulse wave abnormality period in an identifiable manner.

  In the aspect of the invention, the processing unit may perform the first analysis for displaying the pulse wave abnormal period for determining the abnormal state of the circulatory system within the measurement period in an identifiable manner. Result information may be generated.

  This makes it possible to generate analysis result information for performing display related to an abnormal state of the circulatory system.

  In one embodiment of the present invention, the abnormal state of the circulatory system may be arrhythmia.

  This makes it possible to generate analysis result information for performing display relating to arrhythmia.

  In one embodiment of the present invention, the arrhythmia is atrial fibrillation, and it is determined that the arrhythmia has occurred during the pulse wave abnormality period by the analysis processing of the pulse wave information in the processing unit. It may be a period.

  This makes it possible to generate analysis result information for performing display related to atrial fibrillation.

  Another aspect of the present invention includes an acquisition unit that acquires pulse wave information, a processing unit that performs analysis processing of the pulse wave information and generates analysis result information, and an output unit that outputs the generated analysis result information And the processing unit includes first analysis result information for displaying the pulse wave abnormality period in the measurement period in an identifiable manner, and pulses in at least a part of the pulse wave abnormality period. The present invention relates to a biological information processing apparatus that generates second analysis result information for displaying at least one of a wave waveform and a pulse interval waveform.

  Another aspect of the present invention is a first analysis result for performing a process of acquiring pulse wave information, performing an analysis process of the pulse wave information, and displaying a pulse wave abnormality period in a measurement period in an identifiable manner. An analysis result information generation method for generating information and second analysis result information for displaying at least one of a pulse wave waveform and a pulse interval waveform in at least a part of the pulse wave abnormality period Involved.

The structural example of the biological information processing system which concerns on this embodiment. An example of information displayed by the 1st analysis result information. The other example of the information displayed by 1st analysis result information. The other example of the information displayed by 1st analysis result information. An example of information displayed by the 2nd analysis result information. The other example of the information displayed by 2nd analysis result information. The other example of the information displayed by 2nd analysis result information. Example of analysis report displayed by analysis result information. Example of analysis report displayed by analysis result information. The example which displays 2nd analysis result information using a new display window. 1 is a detailed configuration example of a biological information processing system according to an embodiment. The structural example of an analysis process part. 13A and 13B are graphs showing the frequency analysis processing results based on the electrocardiographic RR interval. The flowchart explaining the flow of the analysis process which concerns on this embodiment. Explanatory drawing of the method of setting a determination area overlappingly. 16A and 16B are configuration examples of the pulse wave measurement device. The structural example of a pulse-wave measuring apparatus. 18A to 18C are specific examples of realization of the pulse wave measurement device and the biological information processing system.

  Hereinafter, this embodiment will be described. In addition, this embodiment demonstrated below does not unduly limit the content of this invention described in the claim. In addition, all the configurations described in the present embodiment are not necessarily essential configuration requirements of the present invention.

1. First, the method of this embodiment will be described. As disclosed in Patent Document 1, a photoelectric transducer (photoelectric sensor) is attached to a subject, and an acquired pulse wave signal (photoelectric pulse wave signal, pulse wave information) is analyzed to detect an arrhythmia such as atrial fibrillation. There are known methods for inspecting. The examination of arrhythmia here is to detect a portion (period, interval) in which arrhythmia is suspected for diagnosis by a doctor.

  This photoelectric pulse wave test is simpler and easier to wear when compared with an electrocardiograph test, or a wristwatch-shaped device, which will be described later with reference to FIGS. It only has to be pressed, and there is an advantage that the mounting load is not so great. For this reason, the examination can be performed for a long time, and there is an advantage that the probability of capturing the onset phase that occurs irregularly is high. In addition, the site | part to which a pulse-wave measuring apparatus is fixed is not limited to a wrist, Other parts, such as a finger | toe, a neck part, and an ankle, may be sufficient.

  For example, atrial fibrillation is known as one of arrhythmias. Atrial fibrillation is an abnormality in which the atrium is convulsed (partially excited and contracted), and the contraction of the ventricles is at irregular intervals. For this reason, blood flow is stagnant, and atrial fibrillation continues for a long time, so that blood clots are easily formed, which may cause serious symptoms such as cerebral infarction and myocardial infarction.

  Atrial fibrillation has a low onset frequency in the initial stage. For example, atrial fibrillation may occur once every 3 days for several hours. In that case, there is a possibility that the onset period and the wearing period of the Holter ECG do not overlap, and atrial fibrillation cannot be detected. On the other hand, a pulse wave measurement device (biological information processing device) that measures pulse wave information can be easily worn for a long period of about 3 to 10 days, so that even if the onset frequency is low, atrial fibrillation Can be detected.

  In addition, atrial fibrillation may have asymptomatic atrial fibrillation in which the patient is unaware of symptoms. In this case, it is unlikely that the patient will actively undergo an examination relating to atrial fibrillation, and in some cases, the symptom progresses unconsciously and may cause serious symptoms such as cerebral infarction. Also in this case, the use of pulse wave information has the advantage that it can be easily subjected to a screening test because it can be easily worn for a long period of time.

  However, there is a problem caused by using pulse wave information. Specifically, it is necessary to efficiently report useful information for quick diagnosis from long-term data. As described above, since the pulse wave information is acquired over about 3 to 10 days, the amount of information is enormous. For this reason, displaying detailed information, for example, a pulse wave waveform, which is a waveform of pulse wave information, over the entire measurement period (examination period) places a heavy burden on the doctor. Therefore, it is preferable that the biological information processing system performs a pulse wave information analysis process (for example, a determination process of whether or not an abnormality is found in the pulse wave information) and presents rough information using the result. .

  However, the diagnosis of arrhythmia should be performed by a doctor, and it is not preferable to present only the determination result by the biological information processing system. In other words, the output (analysis report or the like) of the biological information processing system must also present detailed information sufficient for the doctor to make a diagnosis as to whether or not the patient has an arrhythmia. In particular, pulse wave information is affected by body movement noise, etc., and its accuracy is inferior compared to the case of using an electrocardiogram, so a screen display for confirming whether the detection result of the pulse wave abnormality by the system is appropriate, etc. The need for is great.

  That is, in the biological information processing system, both the first request that the doctor wants to avoid browsing all of the enormous data and the second request that the detailed information that can diagnose the arrhythmia can be browsed. It is necessary to generate and output information that satisfies the above.

  Therefore, the present applicant proposes the following biological information processing system 200. Specifically, as illustrated in FIG. 1, the biological information processing system 200 according to the present embodiment performs an analysis process on pulse wave information by generating an acquisition unit 210 that acquires pulse wave information, and generates analysis result information. Unit 230 and an output unit 250 that outputs the generated analysis result information. The processing unit 230 then includes first analysis result information for displaying the abnormal pulse wave period in the measurement period in an identifiable manner, and the pulse wave waveform and the pulse in at least a part of the pulse wave abnormal period. Second analysis result information for displaying at least one of the interval waveforms is generated.

  Here, the pulse wave information is information representing the pulse wave of the user (subject, subject), and specifically information based on the output of the pulse wave sensor (photoelectric sensor) worn by the user. The pulse wave waveform is a waveform of pulse wave information, for example, a waveform representing a time-series change in pulse wave information. Specifically, the pulse wave waveform may be a waveform representing the AC component of the pulse wave sensor output. The pulse interval waveform is a waveform representing a time-series change in the pulse interval. The pulse interval is a time (for example, the unit is msec) indicating the interval of one beat and one beat. For example, there is a relationship of pulse interval = (1000 × 60) / pulse rate with respect to a widely used pulse rate (unit: rpm). The pulse wave abnormal period is a period in which the pulse wave information is detected to be different from the normal state (in an abnormal state), and as an example, it is detected that the variation in the pulse wave interval is large as described later. Period. Details of the pulse wave abnormality period detection method will be described later.

  In this way, since the pulse wave abnormality period in the measurement period can be identified by using the first analysis result information, the doctor can easily grasp the outline of the state of the pulse wave in the measurement period. It becomes possible. In other words, even if the measurement period is a long period of 3 days to 10 days, it is possible to easily grasp at what timing or how often a pulse wave abnormality is suspected, thus reducing the burden on the doctor. It becomes possible to do.

  The processing unit 230 may generate first analysis result information for displaying the pulse wave abnormality period for determining the abnormal state of the circulatory system within the measurement period in an identifiable manner. That is, the pulse wave abnormality period may be information indicating whether or not a circulatory system abnormality is suspected. Furthermore, the abnormal state of the circulatory system may be an arrhythmia.

  A pulse wave sensor such as a photoelectric sensor can detect, for example, a change in blood flow in a blood vessel. That is, from the analysis processing of the pulse wave information, it is possible to detect abnormalities in the circulatory system centering on the vascular system, and the analysis result information according to the present embodiment makes it easy to understand the abnormal state of the circulatory system. Can be presented. Furthermore, since information such as the pulse rate and pulse interval can be used to determine whether the user's pulse is in a normal state, it is possible to target an arrhythmia as an abnormal state of the circulatory system. In the following description, it is assumed that the pulse wave abnormality period is for determining arrhythmia. As will be described later, the arrhythmia in the present embodiment is atrial fibrillation in a narrow sense.

  Furthermore, by using the second analysis result information, it is possible to display detailed information such as a pulse wave waveform and a pulse interval waveform for at least a part of the pulse wave abnormal period. Therefore, by using the detailed information, it is possible to make a doctor diagnose whether or not an arrhythmia really develops during a pulse wave abnormality period.

  In addition, when compared with measurement using an electrocardiogram, as described above, measurement of pulse wave information is greatly influenced by noise such as body movement noise. Specifically, in the analysis of the photoelectric pulse wave signal, the pulse wave analysis can be corrected by various noise removal processes in an aspect affected by body motion noise, but there is no perfect correction process. In addition, the reliability of the analysis result of the pulse wave signal during that time decreases. In addition, in a poor mounting situation, the amplitude of the pulse wave signal is lowered, and similarly reliability is lowered.

  Therefore, even if it is determined in the biological information processing system 200 that the pulse wave information is abnormal (the pulse wave abnormality period is detected), it may be an error. From the standpoint of a doctor, even if the pulse wave abnormal period can be identified by the first analysis result information, whether abnormalities have appeared in the pulse wave information as a result of the user developing arrhythmia for each pulse wave abnormal period Or it is necessary for the user himself / herself to be normal, but it is necessary to carefully consider whether or not an abnormality appears in the pulse wave information due to the influence of noise.

  Therefore, in this embodiment, a reliability index for measuring pulse wave information may be obtained, and the obtained reliability index may be used for display. For example, the processing unit 230 may generate information for displaying a reliability index of measurement of pulse wave information within the measurement period as the first analysis result information. Since the pulse wave information used in the present embodiment is relatively susceptible to noise, such a reliability index is an important factor. In other words, in the conventional method using an electrocardiogram with relatively high accuracy, a concept such as a reliability index has not been seen.

  Here, the reliability index is information indicating how reliable the pulse wave measurement is. The reliability index is, for example, numerical information. The larger the numerical value, the more reliable (the higher the reliability), the smaller the numerical value, the unreliable (the lower the reliability) may be, and vice versa. Good. Alternatively, the closer to a given numerical value, the higher the reliability may be, and the relationship between the specific value of the reliability index and the level of reliability can be variously modified. For example, in A3 of FIG. 2 to be described later, information based on the effective signal amount of acceleration information is used as a reliability index. Therefore, the larger the numerical value, the greater the body motion noise and the lower the reliability. On the other hand, in FIG. 4 to be described later, the reliability is higher as the numerical value is larger.

  In this way, when a plurality of pulse wave abnormal periods are displayed according to the first analysis result information, the period is more reliable, that is, it is suspected that an abnormality has occurred in the user rather than noise. Can be preferentially used for diagnosis, and the burden of diagnosis can be reduced.

  In the following specification, an embodiment using a reliability index for display will be described. However, the reliability index is not necessarily displayed, and is used internally by the biological information processing system 200. Also good. In that case, when displaying detailed information as the second analysis result information, information with higher reliability may be preferentially displayed. In this way, the doctor can preferentially browse highly reliable information without displaying the reliability index itself. Of course, as will be described later with reference to FIG. 9 and the like, a reliability index may be displayed and information with high reliability may be preferentially displayed.

  Further, the arrhythmia in the present embodiment is atrial fibrillation, and the pulse wave abnormality period may be a period in which it is determined that an arrhythmia has occurred by analysis processing of pulse wave information in the processing unit 230. In the electrocardiogram, when the heart normally beats, various characteristic waveforms such as P wave, Q wave, R wave, S wave, etc. appear, so pay attention to the difference between such normal waveform and measurement waveform. Thus, various arrhythmias are diagnosed. On the other hand, since the pulse wave signal detects a change in blood flow due to the pulse, the pulse wave waveform does not have a shape like an electrocardiogram. Therefore, the method using pulse wave information is specialized in processing based on pulse interval and pulse rate rather than detecting various arrhythmias, and detection processing of atrial fibrillation in which variation in pulse interval becomes large at onset High affinity with.

  Therefore, in the following description, atrial fibrillation is taken as an example. However, targeting an arrhythmia other than atrial fibrillation (for example, extrasystole) as the arrhythmia in the present embodiment is not hindered.

  Hereinafter, after the analysis result information of the present embodiment is described in detail, a system configuration example of the biological information processing system 200 and the like according to the present embodiment will be described. Details of processing in the processing unit 230, such as a method for detecting an abnormal pulse wave period, will be described together with a system configuration example.

2. Specific Example of Analysis Result Information Details of the analysis result information of this embodiment will be described. In the following, a display screen based on the analysis result information will be described as an example. However, the analysis result information may be the screen information itself or other information that can generate the screen information. The following screens are not limited to those displayed on a display unit such as an electronic device, and may be printed out on a paper medium or the like.

  In addition, as the previous stage of creating the analysis result information, pulse wave information and body motion information are acquired, and based on them, the pulse interval is obtained at a first rate (for example, once per second), and the second rate is obtained. (For example, once every 20 seconds, may be the same as the first rate in some cases), the determination result of whether or not the pulse wave is abnormal period, and the reliability index of pulse wave measurement The following will be described. Details of processing for obtaining each information will be described later together with a system configuration example.

  In the following, a specific example of the first analysis result information and a specific example of the second analysis result information (one episode waveform) will be described, and then the second analysis result information includes a plurality of episode waveforms. A display example will be described using an analysis report as an example. The analysis report here is information that is assumed to be generated and output once in response to one inspection (measurement period), and both the first analysis result information and the second analysis result information. Is output information of the biological information processing system 200.

2.1 First Analysis Result Information For example, as shown in the whole waveform of FIG. 9 described later, if a pulse wave waveform or a pulse interval waveform is displayed over the whole measurement period, a state where atrial fibrillation has developed Information can be displayed without omission. However, FIG. 9 shows only a small part of all the waveforms, and it is a heavy burden on the doctor to browse all the data for 3 to 10 days. Even if you try to extract some information and focus on it, if only all waveforms are shown, there are few clues as to which part to extract, and eventually you may be forced to check all data.

  That is, what is required for the analysis result information of the present embodiment is to display data in a relatively long period (in a narrow sense, the entire measurement period) in a form with a high listability and to be a target of focused browsing. The part will be presented to the doctor in an easy-to-understand manner. Therefore, in the present embodiment, as described above, first analysis result information for displaying the pulse wave abnormality period in the measurement period in an identifiable manner is generated.

  A specific example of a display screen displayed using the first analysis result information is shown in FIG. In FIG. 2, the information is displayed in six lines. The horizontal axis of each line represents time. For example, 10:00 in the top line is 10:00 on a given day (or measurement). 1 hour 00 minutes after the start of the period). That is, in FIG. 2, one line represents data for one hour, and information in a relatively long period of 6 hours can be displayed as a whole in FIG.

  In FIG. 2, time-series changes in pulse interval are plotted as points. Specifically, the vertical axis of FIG. 2 may be a logarithmic display of the ratio of the pulse interval value at a given timing to the pulse interval value one timing earlier. That is, when a point is plotted at a position where the vertical axis is 0 (the central position of the vertical axis in FIG. 2), the pulse interval at the timing is the same as the pulse interval at the previous timing. Become. That is, the graph shows that the fluctuation of the pulse interval is smaller as the point is plotted closer to 0, and the fluctuation of the pulse interval is larger as the plotted position varies.

  In the example of FIG. 2, the plotted point is stable at a position close to 0 before the timing shown in A1, and it is determined that the pulse wave abnormality period is not determined by the determination index calculation unit 224 described later. The In addition, as shown by A2 etc., the fluctuation | variation of the pulse interval with respect to one timing ago is also seen large, but since this degree of dispersion | variation is seen even by a normal user, it does not become a problem.

  On the other hand, after the timing indicated by A1, the plotted points vary greatly, and regularity is not observed in the variation. Therefore, in the determination by the determination index calculation unit 224 described later, it is determined that the pulse wave abnormality period is present.

  Thus, by using the display shown in FIG. 2, the viewer can estimate whether or not atrial fibrillation has occurred from the degree of variation in the plotted points. However, in the present embodiment, whether or not the biological information processing system 200 determines that the pulse wave abnormality period is present is displayed in a more easily understandable (highly visible) form.

  Specifically, the processing unit 230 generates information for displaying the pulse wave abnormal period and the period other than the pulse wave abnormal period in different image display modes as the first analysis result information. Various specific examples of different image display modes are conceivable. For example, as shown in FIG. 2, the shape of the points may be different. In FIG. 2, cross-shaped points are used in the pulse wave abnormal period, and white round points are used in periods other than the pulse wave abnormal period. In this way, it is possible to easily discriminate whether or not the pulse wave abnormality period is based on the shape of the points, and the burden on the doctor can be reduced. In the example of FIG. 2, since it is easy to understand that atrial fibrillation may occur until at least 16:00 after the timing of A1, the doctor can obtain detailed data for the period. It is possible to make a judgment such as browsing. Alternatively, modifications such as changing the color of the point, changing the size, and changing the background color in the pulse wave abnormality period and other periods are possible. In addition, it is difficult to realize when printing an analysis report, but when displaying on a display unit of a given device, the image display mode may be changed by blinking a dot or background. .

  Further, as shown in FIG. 2, a reliability index may be displayed together with the display of information regarding the pulse interval. Here, the reliability index is information based on at least one of the user's body movement information and the user's wearing state information. Here, the information based on the body motion information may be the body motion information itself, or may be information obtained as a result of performing some process on the body motion information. Further, the information based on the mounting state information may be the mounting state information itself or information obtained as a result of performing some processing on the mounting state information. Further, the wearing state information may be information representing the wearing state of the measuring device worn on the user's body. The measuring device here is a pulse wave measuring device 100 as will be described later with reference to, for example, FIGS. As will be described later with reference to FIGS. 18A to 18C and the like, the biological information processing system 100 according to the present embodiment may be realized by an apparatus such as a server system, or the pulse wave measurement apparatus 100. May be realized. That is, the measuring device here may represent a device different from the device including the biological information processing system 100 or may represent a device including the biological information processing system 100.

  A3 in FIG. 2 is a curve representing a time-series change in the reliability index relating to body movement noise, and the vertical axis represents the magnitude of body movement noise. Here, the upward direction of the vertical axis indicates that the body motion noise is large, and the downward direction indicates that the body motion noise is small. Specifically, an effective signal amount of body motion information or the like may be used as the reliability index.

  Thereby, when the value of the curve of A3 is large (located in the upward direction of the vertical axis), it can be presented in an easy-to-understand manner that body motion noise is large and the reliability of measurement of pulse wave information is low. Therefore, in the period indicated by A4, the biological information processing system 200 determines that the pulse wave is abnormal, but it cannot be denied that the variation in the pulse interval is caused by body motion noise. The doctor can make a determination such as. By displaying the reliability index, it is possible not to treat all abnormal pulse wave periods equally, but to make a difference according to the reliability, further reducing the burden on the doctor .

  Further, A5 in FIG. 2 is information based on the wearing state information. Specifically, the vertical axis may represent the effective value of the pulse wave signal (effective value of the amplitude of the pulse wave waveform). Thereby, when the value of the curve of A5 is small (located in the downward direction of the vertical axis), it is easy to understand that the reliability of the pulse wave information measurement is low because the signal level is low and the wearing state is bad. Can be presented. Specifically, like A4, it can be easily shown to the doctor that the reliability of the period of A6 is low.

  Further, for a period of low pulse reliability, such as A4 or A6, which is diagnosed as a pulse wave abnormality period, differentiation from a section with high reliability may be performed by further highlighting. As an example, as shown in FIG. 3, the background color of a scene where the reliability is lowered may be changed. In this way, it is visually apparent that the determination based on the pulse wave information may be incorrect for the portion where the background color is changed. Therefore, if it is a doctor, a diagnosis may be performed for a portion whose background color has not been changed (or a portion having a background color representing high reliability), and the burden of browsing information can be reduced.

  In addition, since the first analysis result information of the present embodiment only needs to be able to identify whether or not it is a pulse wave abnormality period, the display content is not limited to FIGS. For example, the processing unit 230 may generate information for displaying a display object (icon, mark) representing a pulse wave abnormality period as the first analysis result information.

  A specific screen example is shown in FIG. The horizontal axis of FIG. 4 represents time, and the time series change of the reliability index is displayed in the area B1, and the time series change of the pulse rate is displayed in the area B2. In the area B3, a display object (in the example of FIG. 4, a bar) is displayed in a range corresponding to the period determined as the pulse wave abnormality period.

  In the example of FIG. 4, three pulse wave abnormal periods B <b> 4 to B <b> 6 indicated by bars in the display target period (for example, a given day in the measurement period) are detected. Thus, the viewer can easily understand in which period the abnormal pulse wave period was detected based on the presence or absence of the bar and the position of the bar on the horizontal axis.

  In the example of FIG. 4, when the reliability index is displayed, the upper direction of the vertical axis is higher in reliability and the lower direction is lower in reliability. That is, in the case of the reliability index based on body motion noise, the relationship is located in the downward direction of the vertical axis as the body motion noise amount (for example, the effective signal amount of acceleration information) is larger. It is different from the display. As described above, the reliability index display method can be variously modified.

  In addition, since the onset of atrial fibrillation may continue for several tens of minutes, one abnormal pulse wave period is as long as several tens of minutes. As will be described later, in the second analysis result information, information on at least a part of the pulse wave abnormality period (a given section such as 20 seconds or 1 minute) is displayed. Therefore, when displaying information on one pulse wave abnormal period using the second analysis result information, information immediately after the start of the pulse wave abnormal period may be displayed, or immediately before the end of the pulse wave abnormal period. Information may be displayed, or intermediate timing information may be displayed.

  Thus, since the section displayed using the second analysis result information can be freely set, which section of the abnormal pulse wave period is used for display in the second analysis result information. It may be shown to the viewer. In this way, when browsing the second analysis result information, the doctor can understand which section of the data in the abnormal pulse wave period is being browsed. For example, triangular objects as shown in B7 to B9 in FIG. 4 may be shown. In the case of FIG. 4, the information of the section corresponding to the vertex of the triangular object in the pulse wave abnormality period is displayed as the second analysis result information.

  As described above, the processing unit 230 performs a pulse wave abnormality period determination process based on the pulse interval, and the result of the determination process in each section within the measurement period and the reliability index in each section. Based on the above, the first analysis result information may be generated. If it does in this way, the result of a judgment process (in the case of FIG. 2 and FIG. 3, the shape of the point of a plot, if it is FIG. 4, the presence or absence of the display of a bar), and a reliability parameter | index (in FIG. A3, A5, and the area B1 in FIG. 4) can be displayed together, and a display that reduces the viewing burden on the doctor is possible.

2.2 Second Analysis Result Information Next, the second analysis result information will be described. The first analysis result information displays information over a long period of time such as 6 hours in FIG. 2 and 24 hours in FIG. For this reason, it is not suitable for displaying pulse wave information acquired at a rate of 16 Hz or a fine portion of a time series change of a pulse interval (pulse rate) acquired once per second. For example, the display of the pulse interval in FIG. 2 is for grasping the tendency of the distribution (variation) rather than focusing on each point, and the display of the pulse rate in FIG. It must be thinned out. Moreover, it is difficult to display the pulse wave waveform acquired at a higher rate in FIGS.

  That is, when only the display of the first analysis result information is compared with the pulse wave information and body motion information acquired by the acquisition unit 210, the displayed information will be missing, and such missing It is inappropriate for a doctor to make a diagnosis of arrhythmia based on information alone. For a doctor's diagnosis, more detailed display is required, for example, displaying the pulse wave information itself or displaying each value of the pulse rate and pulse interval in a form that can be sufficiently identified.

  As described in the first analysis result information, since the determination result of whether or not the pulse wave abnormality period is acquired in this embodiment, more detailed information is representative of the pulse wave abnormality period. Use good information. In this way, it is possible to browse in detail information with relatively high importance in arrhythmia diagnosis.

  For example, as shown in FIG. 5, the second analysis result information is information that displays a temporal change of body motion information (acceleration information), a pulse wave waveform, and a pulse interval waveform in a relatively short period of about 20 seconds. There may be. As shown in FIG. 5, by limiting the display target section to about 20 seconds, changes in the acceleration waveform, the pulse wave waveform, and the pulse interval waveform can be displayed in detail (without thinning out or the like). . The section within the pulse wave abnormality period displayed by the second analysis result information is not limited to 20 seconds, but may be 60 seconds, and various modifications can be made.

  As shown in the example of displaying the acceleration waveform in FIG. 5, the processing unit 230, as the second analysis result information, includes the user's body movement information and the user's body motion information in a given section within the pulse wave abnormality period. Information for displaying at least one of the mounting state information may be generated. In the first analysis result information, it is assumed that the interval reliability is used as the reliability index, and the interval reliability is determined for a given interval such as 20 seconds. Details of the section reliability will be described later when the section reliability determination unit 227 is described.

  That is, in the first analysis result information, it is assumed that the reliability index of pulse wave measurement is displayed with 20 seconds as one unit, and the body motion information and wearing used when the reliability index is obtained. Display of details of the state information (for example, time series change in 20 seconds) is not particularly taken into consideration. However, with respect to the determination as to whether or not the pulse wave measurement in the target section is reliable, the determination result of the biological information processing system 200 is not used as it is, but a confirmation work by a viewer (doctor) may be performed. desirable.

  That is, in the second analysis result information, displaying the determination result in the section reliability determination unit 227 is not prevented, but more detailed information used for reliability determination may be displayed. Specifically, the waveform itself of the body movement information or the waveform of the index value of the wearing state may be displayed. Note that the signal level of the pulse wave information may be used to determine the wearing state. Therefore, the pulse wave waveform shown in FIG. 5 and the like is information that can have both the first aspect of detailed information for diagnosing a patient's arrhythmia and the second aspect of detailed information for determining reliability. It is.

  6 and 7 show other examples of second analysis result information. In FIG. 6, since it can be seen that the fluctuation of the value is large by looking at the acceleration waveform displayed by the second analysis result information, the influence of the body motion noise can be suspected. In addition, in FIG. 7, if the wearing state information (pulse wave waveform) displayed by the second analysis result information is seen, the signal level is very small, so the influence of the wearing failure can be suspected.

  In addition, since arrhythmia can occur multiple times within 3 to 10 days (a plurality of arrhythmia episodes occur), as shown in the first analysis result information in FIG. 4, the pulse wave abnormal period is also measured. May be detected multiple times within a period. In that case, in order to make an appropriate diagnosis by the doctor for each pulse wave abnormality period, at least one section is set for each pulse wave abnormality period, and the display by the second analysis result information is performed for the section. It is good to do.

  That is, the processing unit 230 generates the second analysis result information that displays at least one episode waveform for one pulse wave abnormality period suspected to be one arrhythmia episode (onset of continuous arrhythmia). To do. The episode waveform here is information representing a representative waveform in a pulse wave abnormality period in which an arrhythmia episode is suspected, and corresponds to each of FIGS. 5 to 7. As a result, the second analysis result information is information for displaying a plurality of episode waveforms.

  In that case, a plurality of episode waveforms may be arranged and displayed in chronological order, and the doctor may browse the episode waveforms according to the detection order of the pulse wave abnormality period. However, in this embodiment, the reliability index is calculated. Therefore, it is possible to estimate the reliability of pulse wave measurement for each of a plurality of episode waveforms.

  Since the episode waveform with high reliability is assumed to have high accuracy in detecting the abnormal period of the pulse wave, it is highly likely that the abnormal period of the pulse wave has been detected due to the patient's own abnormality. Browsing is useful in arrhythmia diagnosis. On the other hand, an episode waveform with low reliability may have a pulse wave abnormality period detected by noise (false positive) even though there is no abnormality in the patient himself. May not be useful.

  When a plurality of episode waveforms are included in the second analysis result information, they may not be handled equally but a difference may be provided in display priority according to the reliability. Specifically, when the reliability index in the first pulse wave abnormality period is higher than the reliability index in the second pulse wave abnormality period, the processing unit 230 determines that the first pulse wave abnormality period is in the first pulse wave abnormality period. The second analysis result information is generated so that the analysis result information is preferentially displayed compared to the analysis result information in the second pulse wave abnormality period.

  In this way, since the analysis result information (episode waveform) in the first pulse wave abnormality period in which the reliability is higher and the patient is truly suspected of having an arrhythmia is preferentially displayed, the doctor can Information useful in the diagnosis of arrhythmia can be preferentially browsed. Conversely, since the priority of the analysis result information (episode waveform) in the second pulse wave abnormality period in which the reliability is suspected to be false positive is lowered, the doctor may not be useful in the diagnosis of arrhythmia It becomes possible to postpone browsing of information.

  Hereinafter, an example of the output of the biological information processing system 200 including the first and second analysis result information will be described using an analysis report. The analysis report creation timing, creation frequency, and the like can be variously modified. Here, the report is generated by accumulating data representing a result corresponding to one examination, that is, data of about 3 to 10 days. Describe the report. In this case, “providing a difference between the priorities of a plurality of episode waveforms included in the second analysis result information” can be realized by providing a difference in the display form of the episode waveforms in the analysis report.

  8 and 9 show examples of analysis reports according to this embodiment. The analysis report is composed of four items: a statistical summary, a trend graph, an episode waveform, and all waveforms.

  The statistical summary is an item indicating typical statistics representing the state of the user (patient) during the examination period. For example, as shown in FIG. 8, the average value, maximum value, minimum value, etc. of the pulse rate are displayed. As shown in FIG. 8, the maximum pulse rate and the minimum pulse rate may be displayed together with the timing (month / day, hour / minute / second) at which the pulse rate is detected. In addition, the number of times that it has been determined that atrial fibrillation (Af) has occurred, the total time, the average duration per time, the longest duration, and the like are displayed. For the longest duration, the onset timing (onset start timing, end timing) of the atrial fibrillation may be displayed together.

  Further, as shown in FIG. 9, the entire waveform is an acceleration waveform, a pulse wave waveform, a pulse interval waveform, and an atrial fibrillation onset state (determination result of the pulse wave abnormal period) displayed over the entire examination period. .

  As can be seen from FIG. 8, the statistical summary is suitable for grasping the summary in the examination period numerically, but a specific waveform or the like is not displayed, and the time-series change of the user state It is not suitable for grasping. Therefore, more detailed information is required for the diagnosis of the doctor. Further, as can be seen from FIG. 9, although all waveforms display detailed information, the amount of information is too large. Therefore, for the diagnosis of a doctor, it is necessary to display appropriately summarized information or information obtained by extracting important parts.

  As information for facilitating the diagnosis of the doctor, in the present embodiment, the first analysis result information and the second analysis result information are generated as described above, and the first analysis result information of the present embodiment is, for example, FIG. The second analysis result information corresponds to, for example, the episode waveform of FIG.

  Various specific examples of a method for preferentially displaying analysis result information (episode waveform) in a given pulse wave abnormality period as compared with other analysis result information are conceivable. For example, the processing unit 230 displays the second analysis result information so that the analysis result information in the first pulse wave abnormality period is displayed before the analysis result information in the second pulse wave abnormality period. It may be generated.

  When outputting a paper medium report or a static pdf file or the like as an output (for example, an analysis report) including the first and second analysis result information, the analysis report displays a plurality of items in order, There will be no change in ordering. The earlier the display order, the closer to the top (first page), and the slower the display order, the closer to the end (last page). The page order in which the analysis report is browsed varies depending on the viewer, but it is generally assumed that the analysis report is browsed from the top page. That is, the “display first” may be arranged at a position closer to the first page.

  The first analysis result information (trend graph) in FIG. 8 corresponds to FIG. 4, and in this example, as can be seen from the graph of the reliability index, the reliability in the section B7 is high. , B8 has a low reliability. In this case, the episode waveform corresponding to B7 (corresponding to FIG. 5) is displayed as C1 in FIG. 9, and the episode waveform corresponding to B8 (corresponding to FIG. 6) is displayed as C2 in FIG. That is, the episode waveform corresponding to B7 with high reliability is displayed at a position close to the first page. Note that the episode waveform corresponding to FIG. 7 also has low reliability, so it may be displayed behind (subordinately) as indicated by C3 in FIG.

  Or each information which is a display target may be linked | related with the information showing a display order. For example, the first internal data (first metadata) indicating the display order is assigned to the analysis result information in the first pulse wave abnormality period, and the analysis result information in the second pulse wave abnormality period is included in the analysis result information in the second pulse wave abnormality period. Second internal data (second metadata) representing the display order may be assigned. The data representing the display order is set in a format that allows comparison between data (for example, numerical data that can be determined in size). In this way, it is possible to determine which order is earlier by comparing the first internal data and the second internal data. For example, if the internal data is numerical data and the display order is earlier as the numerical value is smaller, two internal data such that the first internal data <the second internal data are generated, and each pulse is generated. By giving it to the analysis result information in the wave abnormality period, it becomes possible to provide a difference in priority. In addition, when determining a display order using such internal data, the process which produces | generates the display image ordered based on the said internal data may be performed in the process part 230 which concerns on this embodiment, It may be performed by a processing unit of an apparatus having a display unit. Further, the internal data may be given to other information such as the first analysis result information.

  It is considered that the viewer grasps the outline of the entire measurement period based on the first analysis result information, and then performs a detailed diagnosis using the second analysis result information. That is, when the display area for displaying the second analysis result information is set, the closer the display position (arrangement position) is to the first analysis result information, the higher the priority of browsing by the viewer. Conceivable. That is, “display first” may be arranged at a position closer to the first analysis result information.

  “Preferential display” may be based on the size of the display area (display size). For example, the processing unit 230 generates the second analysis result information so that the analysis result information in the second pulse wave abnormality period is displayed in a reduced size as compared with the analysis result information in the first pulse wave abnormality period. May be. In this way, the episode waveform with high reliability is displayed relatively large, and the episode waveform with low reliability is displayed relatively small, so the user can easily determine which episode waveform should be focused on. Is understandable.

  In the example of FIG. 9, episode waveforms with low reliability (C2 and C3 in FIG. 9, corresponding to FIGS. 6 and 7) are episode waveforms with high reliability (C1 in FIG. 9 and corresponding to FIG. 5). Compared to, the size is reduced to ¼, and the visibility of the episode waveform with high reliability is relatively high.

  In addition, the method of “priority display” is not limited to the size of the display size before and after the order, and may be realized by various enhancement processes such as changing the background color and changing the color and size of characters. Good.

2.3 Modifications In the above description, the detailed information of a given section of the pulse wave abnormality period, that is, the case where only the episode waveform is displayed has been described. However, the present invention is not limited to this. For example, depending on the purpose of diagnosis and the diagnosing person, there may be a request to add a section of a typical non-episode waveform (detailed information of a section other than the pulse wave abnormality period) to the analysis report.

  In this case, analysis result information for displaying a body motion waveform, a pulse wave waveform, and a pulse interval waveform may be generated for a section other than the abnormal pulse wave period, for example, as in FIG. Also in this case, instead of treating each non-episode waveform equally, a priority according to the reliability may be set, and a non-episode waveform with high reliability is displayed first, It may be displayed large.

  In the above description, the static format is assumed as the output including the first and second analysis result information. However, the output according to the present embodiment may be a dynamic (interactive) format. For example, by specifying a pulse abnormal period on the first analysis result information (trend graph), a representative waveform (second analysis result information, episode waveform) of the specified pulse wave abnormal period is displayed. Also good. The display of the representative waveform here may be that in which a new display window is opened, jumping to a display location, or another format. In this case, since the concepts before and after the display order are sparse, as a method of “preferential display”, it is preferable to emphasize the change of the background color or the like.

  A display example of the first and second analysis result information in a dynamic format is shown in FIG. FIG. 10 shows an example in which a representative waveform is displayed by opening a new display window. In FIG. 10, it is assumed that the pulse wave abnormality period corresponding to B4 (B7) in FIG. 4 is specified in the state where the trend graph shown in FIG. 4 is displayed. A new display window (pop-up screen) is superimposed and a representative waveform corresponding to FIG. 5 is displayed in the new display window. The display of the representative waveform is not limited to a fixed display of a waveform of a predetermined length (for example, 20 seconds), and the transition of the waveform over time before and after that may be displayed. For example, in FIG. 10, a scroll bar is provided at the bottom of the new display window, and the user can operate the scroll bar to change the section on which the waveform is to be displayed. For example, if the left arrow button in the scroll bar of FIG. 10 is pressed or the scroll box is moved to the left, the previous waveform can be displayed in time series, the right arrow button is pressed, or scrolling is performed. If the box is moved to the right, later waveforms can be displayed in time series. Further, the user interface for viewing the transition of the pulse wave over time before and after the displayed representative waveform is not limited to the scroll bar, and various modifications can be made.

3. System Configuration Example Next, a configuration example of the biological information processing system 200 according to the present embodiment will be described. First, a specific system configuration example of the biological information processing system 200 will be described with reference to FIG. 11 and the like. Thereafter, an example of the appearance of the pulse wave measurement device 100 and a specific example of a system including the biological information processing system 200 will be described. A description will be given with reference to FIGS.

3.1 Configuration Example of Biological Information Processing System As illustrated in FIG. 1, the biological information processing system 200 according to the present embodiment includes an acquisition unit 210, a processing unit 230, and an output unit 250.

  The acquisition unit 210 acquires pulse wave information. For example, as will be described later with reference to FIG. 18A, the biological information processing system 200 according to the present embodiment is realized by a server system, and the server system is a pulse wave measurement device 100 (biological information) mounted on the user. If the pulse wave information is acquired from the detection device), the acquisition unit 210 is a communication unit (a reception unit that receives information from the pulse wave measurement device) that communicates with the pulse wave measurement device via the network. There may be.

  In this case, the acquisition unit 210 acquires sensor information from a pulse wave sensor included in the pulse wave measurement device. Here, the pulse wave sensor is a sensor for detecting a pulse wave signal. For example, a photoelectric sensor including a light emitting unit and a light receiving unit can be considered. It is known that pulse wave sensors such as photoelectric sensors and other forms of sensors (for example, ultrasonic sensors) can be realized by various sensors, and those sensors can be widely applied to the pulse wave sensors of this embodiment. .

  The processing unit 230 performs an atrial fibrillation analysis process based on the pulse wave information acquired by the acquisition unit 210, and generates analysis result information based on the analysis result. The function of the processing unit 230 can be realized by hardware such as various processors (CPU and the like), ASIC (gate array and the like), a program, and the like.

  The output unit 250 outputs the analysis result information generated by the processing unit 230. Various output forms of the output unit 250 are conceivable. For example, the analysis result information may be transmitted to another device via a network. In this case, the output unit 250 is realized by a communication unit. The network here can be realized by WAN (Wide Area Network), LAN (Local Area Network) or the like, regardless of wired or wireless. Alternatively, the output unit 250 may print the analysis result information. In this case, the viewer browses the printed analysis result information on a paper medium or the like.

  In the processing unit 230, the process of generating analysis result information for displaying various types of information may be a process of generating display screen information or a process of generating print data. Information for screen display (for example, an HTML file that defines the arrangement relationship of each information) may be used. Generating information for screen display may be, for example, a process of generating a browsing page (for example, a Web page) on the Internet.

  The output unit 250 may be a display processing unit that displays a display screen defined by the display screen information on the display unit of the terminal device. For example, an apparatus including the biological information processing system 200 according to the present embodiment may have a display unit and display a display screen on the display unit, or may be different from an apparatus including the biological information processing system 200. A display screen may be displayed on the display unit of the terminal device. Alternatively, the output unit 250 may transmit print data to the printing apparatus. Alternatively, the output unit 250 may be a transmission unit (communication unit) that transmits information for screen display based on a request from a terminal device different from the device including the biological information processing system 200. In this case, specific screen display using the information for screen display may be performed on the terminal device side that has received the information for screen display. As an example, when there is a web page browsing request from the terminal device to the biological information processing system 200 using a web browser, the processing unit 230 returns information on the web page corresponding to the browsing request, A form in which the Web browser of the terminal device interprets information on the Web page and displays it on the display unit is conceivable. However, transmission / reception of information between the terminal device and the biological information processing system 200 is not limited to that using a Web browser, and for example, a native application may be used.

  FIG. 11 shows a detailed configuration example of a system including the biological information processing system 200. However, the biological information processing system 200 is not limited to the configuration shown in FIG. 11, and various modifications such as omitting some of these components or adding other components are possible. In the example of FIG. 11, the acquisition unit 210 of the biological information processing system 200 acquires pulse wave information from the pulse wave measurement device 100 including the pulse wave sensor 110.

  The processing unit 230 includes an analysis processing unit 220 that performs arrhythmia (atrial fibrillation) analysis processing and an analysis result information generation unit 240 that generates analysis result information.

  FIG. 12 is a detailed configuration example of the analysis processing unit 220. As illustrated in FIG. 12, the analysis processing unit 220 includes a detection signal storage unit 221, a body motion noise reduction processing unit 222, a pulse interval calculation unit 223, a determination index calculation unit 224, and a noise amount index calculation unit 225. And a signal amount index calculation unit 226 and an interval reliability determination unit 227.

  The detection signal storage unit 221 stores the information acquired by the acquisition unit 210. Here, it is assumed that the acquisition unit 210 acquires body motion information (acceleration information in a narrow sense) representing the user's body motion in addition to the pulse wave information, and the detection signal storage unit 221 includes the pulse wave information and Memorize body movement information. For example, the body motion information is information from an acceleration sensor included in the pulse wave measurement device 100.

  The body motion noise reduction processing unit 222 acquires the pulse wave signal and the body motion signal from the detection signal storage unit 221 and performs body motion noise reduction processing on the pulse wave signal. The body motion noise reduction processing unit 222 can be realized by adaptive filter processing, for example. As will be described later, since the reliability index is used in this embodiment, body motion noise is not removed, and as a result, a pulse wave abnormality period is erroneously detected (false positive). In addition, the display priority of the detection result can be lowered. For this reason, the body motion noise reduction processing unit 222 in the present embodiment is not an essential configuration and can be omitted.

  The pulse interval calculation unit 223 obtains a pulse interval based on the pulse wave information. If the influence of noise on the pulse waveform is small, the peak interval of the pulse waveform can be set as the pulse interval. However, since the pulse wave waveform is usually not so beautiful, the pulse interval may be obtained by frequency analysis processing for pulse wave information in a certain period. As an example, the pulse interval calculation unit 223 extracts a frame for each sampling of the pulse wave information whose body motion noise component has been reduced in the body motion noise reduction processing unit 222, and performs frequency analysis (STFT (Short− The frequency spectrum is calculated by (Time Fourier transform) analysis). Then, the pulse interval calculation unit 223 calculates a parameter corresponding to the pulse interval for each frame based on the calculated frequency spectrum.

  The frame here may be a period of about 4 seconds, for example. In the present embodiment, a frame such as 4 seconds for which the pulse interval is obtained is also referred to as a pulse interval calculation section. In the following explanation, the pulse interval calculation period is set to 4 seconds, and the pulse interval is calculated once per second by shifting the period by 1 second. However, the length of the pulse interval calculation period, Various modifications can be made to the rate for obtaining the interval. The obtained pulse interval is output to the determination index calculation unit 224.

  Based on the pulse interval, the determination index calculation unit 224 obtains a determination index for determining whether an arrhythmia (atrial fibrillation) has occurred, specifically, whether it is a pulse wave abnormality period. 13 (A) and 13 (B) show the frequency analysis of the waveform signal indicating the fluctuation of the electrocardiogram RR interval in the band of 0.01 Hz to 0.2 Hz in one frame, and the peak frequency and power are logarithmically. It is the graph expressed by converting. FIG. 13A is a graph when atrial fibrillation is not developed, and FIG. 13B is a graph when atrial fibrillation is developed.

  As can be seen from FIGS. 13A and 13B, when the electrocardiogram RR interval is used, the intercept and slope of the regression line change depending on whether or not atrial fibrillation has occurred. Can determine atrial fibrillation. Therefore, the determination index calculation unit 224 may obtain a graph obtained by logarithmically converting the peak frequency and power with respect to the waveform signal representing the fluctuation of the pulse interval, and obtain the intercept and slope of the graph as the determination index. . Whether or not it is a pulse wave abnormality period in which an abnormality is seen in the pulse wave information by comparing the judgment index with a slice at the onset of atrial fibrillation, such as a normal state slice, specifically, whether atrial fibrillation is It is possible to determine whether or not it has developed. The determination index calculation unit 224 may output a determination result based on the intercept or the like (determination result as to whether atrial fibrillation has occurred) instead of using the intercept and the slope as index values.

  Or you may calculate the power of a one part frequency band among the time changes of a pulse interval. When atrial fibrillation develops, the power increases several times and a significant difference is seen compared to when it does not. Therefore, atrial fibrillation may be determined by this power change.

  In addition, it is known that time-series fluctuations in the pulse interval increase at the onset of atrial fibrillation. Therefore, it is possible to perform a modification such as obtaining a statistical value such as a variance value or a standard deviation, and in that case, not the statistical value of the pulse interval itself but the change amount (difference or ratio) from the pulse interval one timing earlier. ) Statistics may be obtained. As described above, the processing in the determination index calculation unit 224 can be variously modified. The following description will be made assuming that the determination index calculation unit 224 outputs a determination result as to whether or not the pulse wave abnormality period is present.

  The noise amount index calculation unit 225 obtains a noise amount index that represents the degree of noise included in the pulse wave information. Specifically, if the noise amount index calculation unit 225 acquires body motion information (acceleration information) from the detection signal storage unit 221, and obtains an index value representing the degree of body motion noise based on the body motion information. Good. More specifically, as the body motion noise amount, power in a predetermined band of the acceleration amount of the three axes of the acceleration sensor can be used.

  The signal amount index calculation unit 226 obtains a signal amount index representing the signal amount (signal level) included in the pulse wave information. The signal amount index calculation unit 226 simply calculates the amplitude level (effective signal amount or the like) of the pulse wave signal as the signal amount index. The analysis processing unit 220 is not limited to the one including both the noise amount index calculation unit 225 and the signal amount index calculation unit 226, and may include either one.

  In addition, the processing unit 230 (the analysis processing unit 220 of the processing unit 230 in a narrow sense) obtains a reliability index in each section in the measurement period based on at least one of the user's body motion information and pulse wave information. A reliability determination unit 227 is included.

  The interval reliability determination unit 227, for example, extracts a predetermined band from the acceleration waveform of each axis of the acceleration sensor using a digital filter, obtains an effective value, and multiplies a coefficient corresponding to the degree of influence on the pulse measurement for each axis. Thus, the reliability index based on the noise amount index can be obtained by a method such as adding. The given band here is, for example, 0.5 to 2 [Hz], and this corresponds to a band that may overlap with the pulse frequency band. As the reliability index based on the signal amount index, the effective signal amount of the pulse wave signal may be used.

  Here, the length of each section within the measurement period that is the target of the section reliability determination here is, for example, about 20 seconds. In this case, in the section reliability determination unit 227, the effective signal amount of the body movement information (acceleration signal) for 20 seconds output from the noise amount index calculation unit 225 and the 20 seconds output from the signal amount index calculation unit 226 Based on the effective signal amount of the pulse wave information, the reliability (section reliability) in the 20-second period is determined.

  The analysis result information generation unit 240 of the processing unit 230 generates analysis result information based on the determination index output from the determination index calculation unit 224 and the reliability index output from the section reliability determination unit 227. Details of the analysis result information are as described above.

  In the example of FIG. 11, the output unit 250 outputs analysis result information to another presentation device 300. That is, FIG. 11 is an example in which analysis result information is transmitted via a network or the like as described above. The presentation device 300 presents the analysis result information acquired from the output unit 250 to the viewer. In a narrow sense, the presentation device 300 includes a display unit, and the analysis result information may be displayed on the display unit.

  FIG. 14 is a flowchart illustrating processing performed by the analysis processing unit 220 of the biological information processing system 200 according to this embodiment. When this process is started, the log data acquired by the acquisition unit 210 is first read (S101). The log data here is data in which pulse wave information and body motion information for one entire measurement period such as 3 to 10 days are accumulated, and in S101, a process of reading one of the data may be performed.

  Next, it is determined whether the processing for the log data has been completed (S102). For example, the log data may be sequentially processed from the beginning, and it may be determined whether or not unprocessed data remains. If there is no unprocessed data (No in S102), the process in the analysis processing unit 220 is terminated, and the process proceeds to a process of generating analysis result information for display based on the analysis result.

  When there is unprocessed data (Yes in S102), the processes after S103 are performed. Specifically, body motion noise reduction processing section 222 first performs body motion noise reduction processing (S103). The body movement noise reduction process can be realized by the filter process as described above, for example.

  Then, it is determined whether or not the pulse information after body motion noise reduction has been accumulated for the pulse interval calculation section (S104). Since the pulse interval calculation section is, for example, 4 seconds, the determination in S104 is Yes when information for 4 seconds is accumulated. For example, if the sampling rate of the pulse wave information is 16 Hz, the information for 4 seconds is 64 data. If No in S104, the process returns to S101 and the next log data is read. As described above, the pulse interval calculation section may be set with a shift of 1 second. In that case, in the process of S104, it is not necessary to accumulate data for 4 seconds from 0, and data already accumulated for 3 seconds can be used. That is, S104 is determined as Yes once per second.

  If Yes in S104, the pulse interval is calculated based on the accumulated pulse wave information for the pulse interval calculation section (S105). The specific calculation method is as described above. Since the process of S105 is executed at the same rate as the rate determined to be Yes in S104, one pulse interval is obtained, for example, per second.

  Next, it is determined whether data corresponding to the determination section for determining reliability has been accumulated (S106). Since the determination section here is, for example, 20 seconds, S106 is determined as Yes once every 20 seconds, and No is determined otherwise. In the case of No, the process returns to S101 and the next log data is read.

  In the case of Yes in S106, it is first determined whether or not it is a pulse wave abnormal period based on the pulse interval accumulated for the determination section (S107). Since the pulse interval is obtained, for example, once per second, the determination index calculation unit 224 has 20 pulse intervals (21 as shown in FIG. 5 or the like depending on how the pulse interval is handled at the end point of the determination interval). The determination may be made by the above-described method using the time-series changes.

  Further, the section reliability determination unit 227 determines the section reliability based on the pulse wave information and body motion information for 20 seconds (S108). After the process of S108, the process returns to S101 and the next log data is read.

  By performing the processing shown in FIG. 14, the pulse interval can be obtained once per second, and the determination result regarding the pulse wave abnormality period and the interval reliability can be obtained once every 20 seconds. Further, since the pulse rate can be obtained by converting the pulse interval, the pulse rate is also obtained at a rate of once per second.

  The method for calculating the pulse interval once per second has been described by setting the 4-second pulse interval calculation interval by shifting by 1 second, that is, by setting the 3 second portion by allowing overlap. Similar processing can be performed for the determination section for determining the wave abnormality period. The flowchart of FIG. 14 shows an example in which the determination result is obtained with 20 seconds as the determination interval, and the determination result is obtained once every 20 seconds. However, the determination interval is set to be shifted by x seconds. Thus, the determination result can be obtained once every x seconds. Here, x seconds may be 1 second as in the calculation of the pulse interval, or may be 2 seconds, 5 seconds, 10 seconds, or the like.

  Thus, when the overlap of a determination interval is recognized, it will be in the situation where the value of one pulse interval respond | corresponds to a some determination interval. A specific example is shown in FIG. In FIG. 15, the determination section is 20 seconds, the x is 10 seconds, and the pulse interval is calculated once per second. Here, since the value of the pulse interval at the end point of the determination section shows an example that is not used in the determination section, the value of the pulse interval included in the determination section of 20 seconds is 20. In FIG. 15, the first determination section Z1 and the second determination section Z2 that follows the first determination section Z1 are set, but RR11 to RR20 in the pulse interval are included in both Z1 and Z2. That is, the determination result R1 of the pulse wave abnormality period obtained from Z1 and the determination result R2 of the pulse wave abnormality period obtained from Z2 are both information based on RR11 to RR20.

  In this case, any one of R1 and R2 may be used as the determination result of the pulse wave abnormality period based on RR11 to RR20. However, since a plurality of pieces of information corresponding to RR11 to RR20 are required, the plurality of pieces of information may be combined. As an example, the determination result in the section corresponding to RR11 to RR20 may be determined using the logical sum, logical product, majority decision, etc. of R1 and R2. Further, although x = 10 in FIG. 15, if x is made smaller, one pulse interval value corresponds to a larger number of determination sections. For example, if x = 1, the value of one pulse interval corresponds to 20 determination sections, and therefore, using the logical sum, logical product, majority decision, etc. of the 20 determination results, What is necessary is just to obtain | require a determination result. Regarding the length of the determination section and the length of x, other modifications can be made as described above.

  Further, the determination interval may be set while being shifted by x seconds, similarly in the case of obtaining a reliability index (interval reliability). In that case, since it is not necessary to make the same setting for the determination result of the pulse wave abnormality period and the section reliability, the length of the determination section and x, which is the width shifted when setting the determination section, are different from each other. May be set.

3.2 Specific Examples of Pulse Wave Measuring Device, etc. FIGS. 16A to 17 show an example of an external view of a pulse wave measuring device 100 (wearable device) that collects pulse wave information. The wearable device of this embodiment includes a band unit 10, a case unit 30, and a sensor unit 40. The case part 30 is attached to the band part 10. The sensor unit 40 is provided in the case unit 30.

  The band unit 10 is for wrapping around the user's wrist and wearing the wearable device. The band part 10 has a band hole 12 and a buckle part 14. The buckle portion 14 has a band insertion portion 15 and a projection portion 16. The user wears the wearable device on the wrist by inserting one end side of the band part 10 into the band insertion part 15 of the buckle part 14 and inserting the protrusion 16 of the buckle part 14 into the band hole 12 of the band part 10. To do. In addition, the band part 10 is good also as a structure which has a buckle instead of the buckle part 14. FIG.

  The case part 30 corresponds to a main body part of the wearable device. Various components of the wearable device such as the sensor unit 40 and a circuit board (not shown) are provided inside the case unit 30. That is, the case part 30 is a housing for housing these components.

  The case part 30 is provided with a light emitting window part 32. The light emitting window 32 is formed of a light transmissive member. The case portion 30 is provided with a light emitting portion as an interface mounted on a flexible substrate, and light from the light emitting portion is emitted to the outside of the case portion 30 through the light emitting window portion 32.

  The wearable device is worn on the user's wrist as shown in FIG. 18A and the like, and pulse wave information (biological information in a broad sense) is measured in the worn state.

  Next, an example of a specific device that realizes the biological information processing system 200 according to the present embodiment will be described. The biological information processing system 200 according to the present embodiment may be a server system, for example. An example in this case is FIG. 18A, and the biological information processing system 200 that is a server system is connected to the pulse wave measurement device 100 via the network NE, and acquires pulse wave information from the pulse wave measurement device 100. To do. Since the wearable device (pulse wave measuring device 100) worn by the user needs to be small and light, there are large restrictions on the processing performance of the battery and the processing unit inside the device, or the data storage capacity. On the other hand, since the resource constraints of the server system are relatively small, pulse wave information analysis processing and analysis result information generation processing can be performed at high speed, or more data (pulse wave information or analysis result information) can be obtained. It is possible to hold.

  The biological information processing system 200 only needs to be able to acquire pulse wave information collected by the pulse wave measuring device 100, and is not limited to one directly connected to the pulse wave measuring device 100. For example, as shown in FIG. 18B, the pulse wave measuring device 100 is connected to another processing device 400, and the biological information processing system 200 is connected to the processing device 400 via a network NE. May be. As the processing device 400 in this case, for example, a mobile terminal device such as a smartphone used by a user wearing the pulse wave measuring device 100 can be considered. The connection between the pulse wave measuring device 100 and the processing device 400 may be the same as that of the network NE, but it is also possible to use short-range wireless communication or the like.

  In addition, the biological information processing system 200 according to the present embodiment may be realized by a processing device (a mobile terminal device in a narrow sense) such as a smartphone instead of a server system. A configuration example in this case is shown in FIG. Mobile terminal devices such as smartphones are often more limited in processing performance, storage area, and battery capacity than server systems. However, considering recent performance improvements, sufficient processing performance can be secured. Is also possible. Therefore, if a request for processing performance or the like is satisfied, a smartphone or the like can be used as the biological information processing system 200 according to the present embodiment as illustrated in FIG.

  Furthermore, in consideration of improvement in terminal performance or usage pattern, an embodiment in which the pulse wave measurement device 100 includes the biological information processing system 200 according to the present embodiment is not denied. In this case, the acquisition unit 210 receives (acquires) information from the pulse wave sensor 110 in the same device. When the biological information processing system 200 is mounted on the pulse wave measuring device 100, the biological information processing system 200 uses the pulse wave measuring device 100 because the demand for data analysis and storage for a large number of users is low. One or a small number of users may be targeted. In other words, the possibility of satisfying the user's request is conceivable in the processing performance of the pulse wave measuring apparatus 100 and the like.

  That is, the method of this embodiment includes an acquisition unit 210 that acquires pulse wave information, a processing unit 230 that performs analysis processing of pulse wave information and generates analysis result information, and an output unit that outputs the generated analysis result information. 250, can be applied to a biological information processing apparatus (biological information analysis apparatus, biological information measurement apparatus, biological information detection apparatus). As described above, the processing unit 230 of the biological information processing apparatus includes the first analysis result information for displaying the pulse wave abnormality period in the measurement period in an identifiable manner and at least a part of the pulse wave abnormality period. And second analysis result information for displaying at least one of the pulse wave waveform and the pulse interval waveform in the interval of (2).

  In the above description, the biological information processing system 200 is realized by any one of the server system, the processing device 400, and the pulse wave measuring device 100. However, the present invention is not limited to this. For example, acquisition of pulse wave information, analysis processing of pulse wave information, generation processing and output processing of analysis result information may be realized by distributed processing of a plurality of devices. Specifically, the biological information processing system 200 may be realized by at least two of the server system, the processing device 400, and the pulse wave measurement device 100. Alternatively, other devices such as the presentation device 300 in FIG. 11 may perform a part of the processing of the biological information processing system 200, and the biological information processing system 200 according to the present embodiment may be various devices (or devices). It can be realized by combination).

  In addition, the method of the present embodiment performs processing for acquiring pulse wave information, performs analysis processing of pulse wave information, and displays an abnormal pulse wave period for determining arrhythmia within the measurement period in an identifiable manner. Analysis result for generating first analysis result information for displaying and second analysis result information for displaying at least one of a pulse wave waveform and a pulse interval waveform in a given section within a pulse wave abnormality period The present invention can also be applied to an information generation method (analysis result information manufacturing method).

  By using such a generation method (manufacturing method), even if a large amount of pulse wave information over a long period of time is acquired, the viewer (doctor) in a form that allows easy understanding of the symptoms of the user (patient) ) Can be presented with information. For example, it is possible to generate a report or the like in which important information is described in a state with high readability.

  Although the present embodiment has been described in detail as described above, it will be easily understood by those skilled in the art that many modifications can be made without departing from the novel matters and effects of the present invention. Accordingly, all such modifications are intended to be included in the scope of the present invention. For example, a term described at least once together with a different term having a broader meaning or the same meaning in the specification or the drawings can be replaced with the different term in any part of the specification or the drawings. Further, the configuration and operation of the biological information processing system and the like are not limited to those described in the present embodiment, and various modifications can be made.

10 band part, 12 band hole, 14 buckle part, 15 band insertion part,
16 Projection part, 30 Case part, 32 Light emission window part, 40 Sensor part,
100 pulse wave measuring device, 110 pulse wave sensor, 200 biological information processing system,
210 acquisition unit, 220 analysis processing unit, 221 detection signal storage unit,
222 body motion noise reduction processing unit, 223 pulse interval calculation unit, 224 determination index calculation unit,
225 noise amount index calculation unit, 226 signal amount index calculation unit, 227 interval reliability determination unit,
230 processing units, 240 analysis result information generation unit, 250 output unit, 300 presentation device,
400 processor, NE network

Claims (16)

An acquisition unit for acquiring pulse wave information;
A processing unit for performing analysis processing of the pulse wave information and generating analysis result information;
An output unit for outputting the generated analysis result information;
Including
The processor is
First analysis result information for displaying the pulse wave abnormality period within the measurement period in an identifiable manner;
A biological information processing system for generating second analysis result information for displaying at least one of a pulse wave waveform and a pulse interval waveform in at least a part of the pulse wave abnormality period. In claim 1,
The processor is
A living body information processing system generating information for displaying a reliability index of measurement of the pulse wave information within the measurement period as the first analysis result information. In claim 2,
The biological information processing system, wherein the reliability index is information based on at least one of a user's body movement information and a wearing state information of a measuring device worn on the user's body. In claim 2 or 3,
When the reliability index in the first pulse wave abnormality period is higher than the reliability index in the second pulse wave abnormality period,
The processor is
The second analysis result information is generated so that the analysis result information in the first pulse wave abnormality period is preferentially displayed compared to the analysis result information in the second pulse wave abnormality period. A biological information processing system characterized by that. In claim 4,
The processor is
Generating the second analysis result information so that the analysis result information in the first pulse wave abnormality period is displayed before the analysis result information in the second pulse wave abnormality period. A biometric information processing system. In claim 4,
The processor is
Generating the second analysis result information so that the analysis result information in the second pulse wave abnormality period is reduced and displayed as compared with the analysis result information in the first pulse wave abnormality period. A biometric information processing system. In any one of Claims 2 thru | or 6.
The processor is
A biological information processing system comprising: a section reliability determination unit that obtains the reliability index in each section in the measurement period based on at least one of a user's body motion information and the pulse wave information. In claim 7,
The processor is
Based on the pulse wave information, including a pulse interval calculation unit for obtaining the pulse interval,
The processor is
Based on the pulse interval, the pulse wave abnormality period is determined, and based on the result of the determination process in each section in the measurement period and the reliability index in each section, the first A biological information processing system characterized by generating one analysis result information. In any one of Claims 1 thru | or 8.
The processor is
Generating, as the second analysis result information, information for displaying at least one of a user's body movement information and the user's wearing state information in the at least a part of the pulse wave abnormality period; A biometric information processing system. In any one of Claims 1 thru | or 9,
The processor is
A biometric information processing system generating information for displaying a display object representing the pulse wave abnormal period as the first analysis result information. In any one of Claims 1 thru | or 9,
The processor is
A biological information processing system that generates information for displaying the pulse wave abnormality period and a period other than the pulse wave abnormality period in different image display modes as the first analysis result information. In any one of Claims 1 thru | or 11,
The processor is
A biological information processing system for generating the first analysis result information for identifiable display of the pulse wave abnormality period for determining an abnormal state of the circulatory system within the measurement period . In claim 12,
The biological information processing system, wherein the abnormal state of the circulatory system is an arrhythmia. In claim 13,
The arrhythmia is atrial fibrillation,
The biological wave information processing system, wherein the pulse wave abnormality period is a period in which it is determined that the arrhythmia has occurred by the analysis processing of the pulse wave information in the processing unit. An acquisition unit for acquiring pulse wave information;
A processing unit for performing analysis processing of the pulse wave information and generating analysis result information;
An output unit for outputting the generated analysis result information;
Including
The processor is
First analysis result information for displaying the pulse wave abnormality period within the measurement period in an identifiable manner;
A biological information processing apparatus for generating second analysis result information for displaying at least one of a pulse wave waveform and a pulse interval waveform in at least a part of the pulse wave abnormality period. Perform processing to acquire pulse wave information,
Analyzing the pulse wave information so that the pulse wave abnormal period in the measurement period is displayed in an identifiable manner, and the pulse in at least a part of the pulse wave abnormal period And generating second analysis result information for displaying at least one of a wave waveform and a pulse interval waveform.

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