JP2008036294A - Heartbeat fluctuation detecting device and method of processing information thereof - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an appropriate means for improving the degree of comfort for a subject by visualizing the variation of the degree of comfort. <P>SOLUTION: The method for processing information of a heartbeat fluctuation detecting device comprises a step for detecting the heartbeat of the subject and computing the irregularity of Lorentz plot data computed in a prescribed period of time (a step S506) and a step for detecting the brain wave of the subject in the prescribed period of time, computing the degree of comfort expressing whether the subject is mentally relaxed or not based on the detected brain wave, the irregularity of the data and the heart rate of the detected pulsation per unit time, and displaying the variation in time of the computed degree of comfort in a graph (a step S507). <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a technique for visualizing changes in the degree of comfort of a measurement subject using fluctuations in pulsation obtained based on biological signals such as an electrocardiogram waveform and a pulse.

  Conventionally, the Lorentz plot is known as a method for evaluating the enhanced state of sympathetic nerves and parasympathetic nerves. In general, it is important that the sympathetic nerve and the parasympathetic nerve are balanced. If the balance between the sympathetic nerve and the parasympathetic nerve is disturbed, fluctuations in pulsation (heart rate) are affected.

  The Lorentz plot is a well-known technique that visualizes the fluctuation of the pulsation based on biological signals such as an electrocardiogram waveform and a pulse.

  21 and 22 are diagrams showing a method for generating a Lorentz plot based on an electrocardiographic waveform. When an electrocardiographic waveform as indicated by 2101 in FIG. 21 is collected, the position of the R wave is first identified, and the RR interval is calculated. The R wave refers to the peak portion of the electrocardiogram waveform, and the RR interval refers to the heartbeat interval of the nth beat (n is an arbitrary integer) and the n + 1th beat of the R wave. In the example of FIG. 21, the R wave positions are identified as R1, R2, R3, and R4, respectively, and the RR intervals are calculated as T21, T32, and T43 (msec), respectively.

  Then, based on the calculated RR interval, T32 is plotted on the horizontal axis and T21 is plotted on the vertical axis in the two-dimensional graph region shown in FIG. Further, T43 is plotted on the horizontal axis and T32 is plotted on the vertical axis. A Lorentz plot is generated by sequentially performing such processing on successive RR intervals. FIG. 23 is a diagram showing an example of the generated Lorentz plot, in which (a) generally shows a good balanced state, and (b) and (c) show a non-balanced state. ((B) shows a stress / disease pattern, and (c) shows an arrhythmia pattern).

  As a technique applying the Lorentz plot generated by such a method, the present applicant has made several proposals so far. For example, Patent Document 1 below proposes a real-time pulsation monitor in which the subject can grasp pulsation fluctuations on the spot by displaying the Lorentz plot in real time in parallel with the measurement of the electrocardiogram waveform. Yes.

Moreover, in the following Patent Document 2, an average Lorentz plot distribution region corresponding to the measurement subject's characteristic information (age and gender) is superimposed and displayed on the displayed Lorentz plot of the measurement subject. Therefore, a heartbeat interval display device is proposed in which the measurement subject can judge the fluctuation of the pulsation in comparison.
Japanese Patent Laid-Open No. 2001-212095 Japanese Patent Laid-Open No. 2001-212089

  However, the devices described in Patent Documents 1 and 2 are not limited to grasping the fluctuation of the current pulsation of the person to be measured, improving the fluctuation of the pulsation, and leading to a comfortable state for the person to be measured. No proposal has been mentioned.

  On the other hand, as means for improving the balance between sympathetic nerves and parasympathetic nerves and leading the person to be measured to a comfortable state, it acts on the human senses such as light, sound, and smell (comfortable color, music, smell). Various factors are possible. In particular, the smell is becoming a commercially established element such as aromatherapy. However, these effects are not uniform and are generally different for each person to be measured. For this reason, it is desirable that the optimum means for improving the balance between the sympathetic nerve and the parasympathetic nerve and leading the subject to a comfortable state can be found for each subject.

  The present invention has been made in view of the above problems, and is an apparatus capable of visualizing changes in the degree of comfort of the person being measured and deriving appropriate means for improving the degree of comfort of the person being measured. The purpose is to provide.

In order to achieve the above object, a heartbeat fluctuation detecting apparatus according to the present invention has the following configuration. That is,
Extraction means for detecting the beat of the person to be measured, extracting the number of beats per unit time, and extracting the beat interval for each beat;
Analysis means for performing time domain analysis based on the beat interval extracted by the extraction means;
Detecting means for detecting the brain wave of the subject;
Comfortability indicating whether or not the subject is in a mentally relaxed state based on the extracted number of beats, the analysis result by the analysis means, and the electroencephalogram detected by the detection means. Comfort degree calculating means for calculating the degree,
Display means for displaying a graph of the temporal change in the calculated comfort level.

Further, another heartbeat fluctuation detecting device according to the present invention has the following configuration. That is,
Extraction means for detecting the beat of the person to be measured, extracting the number of beats per unit time, and extracting the beat interval for each beat;
Coordinate calculation means for calculating each coordinate data when the extracted beat interval of the nth beat and the beat interval of the (n + 1) th beat are sequentially plotted as a vertical axis or a horizontal axis of a two-dimensional graph region;
A variation calculating means for calculating a variation in the calculated coordinate data;
Whether or not the subject is in a mentally relaxed state based on the detected brain wave, the extracted number of beats and the calculated variation. Comfort degree calculating means for calculating a comfort degree representing
Display means for displaying a graph of the temporal change in the calculated comfort level.

  According to the present invention, it is possible to derive appropriate means for improving the degree of comfort of the subject by visualizing the change in the degree of comfort of the subject.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings as necessary. The heartbeat fluctuation detection apparatus described in the following embodiment will be described as an apparatus that calculates a Lorentz plot, which is one of geometric pattern analysis methods of time domain analysis. However, the present invention is described in the following embodiments. It is not limited to. For example, as another heart rate variability index, a triangle index, which is one of geometrical shape analysis methods of frequency analysis (spectral analysis) and time domain analysis, and SDNN, SDANN, r-MSSD, RR50 which are time / domain analysis. (NN50), pNN50 (φ ₀ NN50), a device that calculates CDRR, and the like are also applicable.

1. Appearance Configuration FIG. 1 of the apparatus is a diagram showing an external configuration of the heartbeat fluctuation detecting device according to a first embodiment of the present invention. In the figure, reference numeral 101 denotes a housing which covers an internal electronic device and forms the outer shape of the apparatus. An electrode for detecting pulsation is embedded in a part of the housing 101 (a part indicated by 102), and the person to be measured applies an appropriate part of the body, for example, a palm to the part indicated by 102, to be measured. A person's beat can be detected.

  Reference numeral 103 denotes a display / operation unit that displays a comfort level (details will be described later) calculated based on the detected pulsation and accepts various operations by the measurement subject. Reference numeral 104 denotes a lamp unit that emits (emits) light having a color and a light amount corresponding to the calculated degree of comfort.

  Although not shown in FIG. 1, it is assumed that the heartbeat fluctuation detecting apparatus according to the present embodiment is configured to be connected to an electroencephalogram detector that measures an electroencephalogram (α wave). It is assumed that an aroma generator that generates aroma can be connected.

2. Functional Configuration of Device FIG 2 is a diagram showing a functional configuration of a diagram showing the functional configuration of the heartbeat fluctuation detecting device according to a first embodiment of the present invention (brain wave detector and aroma generator is connected is there). In the figure, reference numeral 201 denotes a clock unit which oscillates a clock signal and supplies it to the CPU 202. Reference numeral 202 denotes a CPU which operates based on a clock signal oscillated from the clock unit 201. A RAM 203 functions as a work area for a program processed by the CPU 202 and also functions as a storage unit that temporarily stores data and the like during program processing. A ROM 204 stores a program processed by the CPU 202.

  Reference numeral 205 denotes a display / operation unit that displays a processing result processed by the CPU 202 and receives an instruction input from the measurement subject. Reference numeral 206 denotes an electrode that detects the pulsation of the subject and outputs an electrical signal. An amplifier 207 amplifies the electrical signal output from the electrode 206 and converts it into a digital signal (hereinafter referred to as heartbeat measurement data).

  An electroencephalogram detector 208 detects an electroencephalogram (preferably an α wave, for example) of the person to be measured and outputs an electrical signal. An amplifier 209 amplifies the electrical signal output from the electroencephalogram detector 208 and converts it into a digital signal (hereinafter referred to as electroencephalogram measurement data).

  Reference numeral 210 denotes an aroma generator, which generates a kind of aroma designated by the measurement subject for a predetermined time.

  Reference numeral 211 denotes a lamp unit that selects and irradiates (emits) light having various colors and light amounts based on the processing result in the CPU 202. A lamp driving unit 212 controls lighting of the lamp unit 211.

  Reference numeral 213 denotes a data recording unit, which is calculated data obtained by processing the heart rate measurement data and electroencephalogram measurement data in the CPU 202, and information about the measurement subject set by the measurement subject via the display / operation unit 205 (setting Data: eg age, sex) etc. are recorded.

  Functions 221 to 230 realized by the program stored in the ROM 204 are shown. Reference numeral 221 denotes a heartbeat detection processing unit that receives heartbeat measurement data output from the amplifier 207. A heartbeat interval detection processing unit 222 identifies one R-wave of the heartbeat waveform based on the received heartbeat measurement data, calculates each RR interval, and is one of the data obtained by the time domain analysis method. Lorentz plot data (coordinate data for displaying a Lorentz plot in a two-dimensional graph area) is generated. Also, a heart rate per predetermined time, for example, one minute is calculated. Further, the degree of fluctuation is calculated. The degree of fluctuation refers to the size of the data distribution area in the two-dimensional graph area (variation of Lorentz plot data in this embodiment). Hereinafter, the degree of fluctuation calculated during measurement is simply referred to as “fluctuation degree”, and the final fluctuation degree calculated upon completion of measurement is referred to as “final fluctuation degree”.

  An electroencephalogram input processing unit 223 receives the electroencephalogram measurement data output from the amplifier 209. 224 is a comfort level calculation unit, and the subject is relaxed using the fluctuation degree and heart rate calculated by the heartbeat interval detection processing unit 222 and the electroencephalogram measurement data received by the electroencephalogram input processing unit 223. The degree of comfort indicating whether or not it is in a state is calculated.

  A display processing unit 225 displays setting data input in advance by the measurement subject on the display / operation unit 205 at the start of measurement. During the measurement, the comfort level calculated by the comfort level calculation unit 224 is displayed on the display / operation unit 205 in real time (a graph displaying the transition of the comfort level in this way is hereinafter referred to as the comfort level. A heart rate detection mark (to be described later) displayed by letters, symbols, symbol marks or the like blinks in accordance with the timing of the R wave of the heart rate waveform, and the heart rate is further displayed. Further, the past comfort level is read from the data recording unit 213 and displayed on the display / operation unit 205 as a graph, and the comfort level extracted by classifying by aroma type by the trend graph processing unit described later is color-coded. To display the graph.

  A data recording processing unit 226 records the calculated final fluctuation degree, comfort level, input setting data, and the like in the data recording unit 213. In addition, the last fluctuation degree, comfort degree, input setting data, and the like recorded in the past are deleted from the data recording unit 213.

  Reference numeral 227 denotes a trend graph processing unit that extracts past comfort levels recorded in the data recording unit 213 and classifies them by aroma type. It is also possible to classify by aroma type after extracting only the comfort level associated with specific setting data.

  A user input processing unit 228 receives setting data input via the display / operation unit 205.

  Reference numeral 229 denotes an aroma output control unit which outputs ylang ylang, orange, camomile, grapefruit, frankincense, peppermint, bergamot, eucalyptus, lavender, rose, fennel, jasmine, lemon so as to output the aroma set by the subject for a predetermined time. , An aroma generator 210 that generates a selected aroma among lemon grass, mandarin, and the like. Note that an ozone generator may be connected instead of the aroma generator, or both may be connected.

  Reference numeral 230 denotes an illumination control unit that selects illumination (color, light amount) corresponding to the comfort level calculated by the comfort level calculation unit 224 and instructs the lamp drive unit 212 to output.

3. Screen design Figure 3 in the apparatus is a diagram showing an example of a screen of the display / operation unit 205 (Here, the screen or the like may be used in addition, high visibility organic EL LCD screen). Reference numeral 301 denotes a data display unit, and the display processing unit 225 displays various data. In the example of FIG. 3, a screen for displaying the degree of comfort in a graph is shown. The horizontal axis indicates time (minutes) and the vertical axis indicates the degree of comfort (%). Reference numerals 309 and 310 denote scroll bars for scrolling the data display unit 301, respectively. Reference numeral 205a denotes a cross key for arbitrarily moving the cursor and the scroll bar.

  Reference numeral 302 denotes a measurement button, and the measurement subject starts measurement by pressing the measurement button 302.

  Reference numeral 303 denotes a playback button, which reads past comfort levels and the like recorded in the data recording unit 213 and displays them in a graph on the data display unit 301. A delete button 304 deletes the past final fluctuation degree, comfort degree, setting data, and the like recorded in the data recording unit 213.

  A trend graph display button 305 displays a trend graph on the data display unit 301 for classifying the comfort level for each aroma type and viewing the trend. A trend graph display end button 306 terminates the display of the trend graph on the data display unit 301.

  Reference numerals 307 and 308 denote a reduction button and an enlargement button, respectively, which reduce or enlarge the comfort level transition graph, the trend graph, and the like displayed on the data display unit 301.

4). Flow of processing in the device (overall)
FIG. 4 is a flowchart showing the flow of the entire process in the heartbeat fluctuation detecting apparatus according to the first embodiment of the present invention. When the apparatus is turned on in step S401, an initial screen (for example, the screen shown in FIG. 3) is displayed on the display / operation unit 205 in step S402.

  In step S403, it is determined what operation has been performed by the measurement subject. If it is determined that the measurement button 302 has been pressed by the measurement subject, the process proceeds to step S404, and the measurement process is executed (details of the measurement process will be described later). If it is determined that the play button 303 or the delete button 304 is pressed by the measurement subject, the process proceeds to step S407, and the comfort level transition graph playback / deletion process is executed (relaxity level transition graph playback / deletion). Details of the process will be described later). Further, when it is determined that the trend graph display button 305 is pressed by the measurement subject, the process proceeds to step S408, and the trend graph display process is executed (details of the trend graph display process will be described later).

  When the measurement process in step S404 ends, the process proceeds to step S405, and it is determined whether or not the calculated comfort level or the like is to be stored in the data recording unit 213. If a save instruction is input from the measurement subject, the process proceeds to step S406, and save processing such as comfort level is performed.

  If it is determined in step S405 that no storage instruction has been input, if the storage process such as the comfort level is completed in step S406, or if the comfort level transition graph playback / deletion process is completed in step S407, Alternatively, when the trend graph display process ends in step S408, the process proceeds to step S409.

  In step S409, it is determined whether or not a power OFF operation has been performed. If the power OFF operation has not been performed, the process returns to step S403 and the above processing is repeated.

  On the other hand, if the power is turned off in step S409, the process is terminated.

5. Details of Measurement Processing (Step S404) Details of the measurement processing (step S404) will be described with reference to FIGS. FIG. 5 is a flowchart showing the flow of the measurement process (step S404).

  When the measurement button 302 is pressed to start the measurement process, in step S501, a setting data input screen is displayed on the data display unit 301 to determine whether or not setting data has been input.

  For example, FIG. 6 is a diagram showing a state in which the setting data input screen 601 is displayed on the data display unit 301. As shown in the figure, in the case of the present embodiment, for example, the measurement subject inputs setting data for default items (six items 602 to 607 in this case) at the time of measurement.

  602 is an item for selecting the age and sex of the person to be measured (by selecting the age and sex of the person to be measured, an average Lorentz plot distribution area corresponding to the age and sex can be called up. ). Reference numeral 603 denotes an item for selecting the current status of the measurement subject. Items 604 and 605 are used to input information about the subject's subjective symptoms based on the subject's subjectivity. Specifically, reference numeral 604 denotes an item for inputting information on the current mental state of the measurement subject. Reference numeral 605 denotes an item for inputting information on the current physical condition (physical state) of the measurement subject. Reference numeral 606 denotes an item for inputting information on a medicine that the measurement subject is currently taking. 607 is the type of aroma generated via the aroma generator 210 from ylang ylang, orange, camomile, grapefruit, frankincense, peppermint, bergamot, eucalyptus, lavender, rose, fennel, jasmine, lemon, lemongrass, mandarin, etc. Is an item to set.

  Reference numeral 608 denotes a setting button. When the setting button 608 is pressed, setting data for setting items 602 to 607 is set, and then the setting data input screen 601 is closed. Reference numeral 609 denotes a cancel button. When the cancel button 609 is pressed, the setting data input screen 601 is closed without setting the setting data of the setting items 602 to 607.

  When the setting button 608 is pressed, it is determined in step S501 that setting data has been input, and the process proceeds to step S502. On the other hand, when the cancel button 609 is pressed, the process is terminated.

  In step S502, a measurement start instruction input screen 701 is displayed as shown in FIG. 7, and it is determined whether or not to start measurement.

  When the start button 702 is pressed, the measurement start instruction input screen 701 is closed and measurement (heartbeat, electroencephalogram) is started (“Yes” in step S502). On the other hand, when the cancel button 703 is pressed, the measurement start instruction input screen 701 is closed and the process is terminated (“No” in step S502).

  When the measurement is started, in step S503, the output of the aroma is started in the aroma generator 210. In step S504, the heartbeat detection processing unit 221 receives heartbeat measurement data. Further, the electroencephalogram input processing unit 228 receives electroencephalogram measurement data.

  In step S505, the heart rate per unit time is calculated based on the heart rate measurement data received by the heart rate detection processing unit 221, and is displayed on the data display unit 301 in real time. In step S 506, Lorentz plot data is calculated based on the heart rate measurement data received by the heart rate detection processing unit 221, and the degree of fluctuation is calculated and displayed on the data display unit 301 in real time.

In step S507, the comfort level is calculated using the electroencephalogram measurement data received in step S504, the heart rate calculated in step S505, and the degree of fluctuation calculated in step S506, and displayed in a graph. . In calculating the comfort level, the following formula is used.
(Expression 1) Comfort level = A × heart rate (number of beats per unit time) + B × degree of fluctuation + C × α wave (electroencephalogram) + D
However, A, B, C, and D are coefficients. FIG. 8 is a diagram illustrating a display example of the data display unit 301 after the measurement is started. In the figure, reference numeral 801 denotes a heartbeat detection mark which blinks in accordance with the R wave of the heartbeat measurement data received by the heartbeat detection processing unit 221. Reference numeral 802 denotes a heart rate display field for displaying the calculated heart rate (a field for displaying the number of heart beats per minute). Reference numeral 803 denotes a column for displaying whether the data display unit 301 is currently enlarged, displayed in a standard size, or reduced. Reference numeral 804 denotes a field for displaying the current date and time.

  Further, 805 displays the type of aroma selected by the measurement subject on the setting data input screen 601. Reference numeral 806 denotes a comfort level transition graph showing a transition of the calculated comfort level.

  In step S508, the illumination level is controlled so that the optimal lamp unit 211 emits the optimal light for the person to be measured according to the comfort level calculated in step S507.

  In step S509, it is determined whether a predetermined time has elapsed since the measurement was started. If the predetermined time has not elapsed, the process returns to step S504. On the other hand, if the predetermined time has elapsed, the process is terminated. The progress until a predetermined time elapses is displayed at an arbitrary position on the data display unit 301 (segment display or the like, countdown display or countup display), or a pet, a child, a landscape, a character, or the like is arbitrarily selected. Then, it may be displayed on the screen so as to sequentially complete the images.

  FIG. 10 shows a comfort level transition graph 805 showing a transition of the comfort level, a final fluctuation degree 1001 at the time of completion of measurement, a final electroencephalogram (an electroencephalogram at the time of completion of measurement) 1002, a final illumination level (an illumination level at the time of completion of measurement). ) 1003 is displayed.

5.1 Details of Illumination Control Process (Step S502) Details of the illumination control process (step S508) will be described with reference to FIG. In step 901, it is determined whether or not the current comfort level is in a first range, for example, a range of 0 to 20%. When it is determined that the current comfort level is in the first range (0 to 20% range), the lamp driving unit 212 is instructed to output the illumination level 5. On the other hand, if it is determined that it is not in the first range (0 to 20% range), the process proceeds to step S902, and whether the current comfort level is in the second range, for example, 20 to 40%. Determine whether or not. When it is determined that the current comfort level is within the second range (range of 20 to 40%), the lamp driving unit 212 is instructed to output the illumination level 4. On the other hand, if it is determined that it is not in the second range (20 to 40% range), the process proceeds to step S903, and whether the current comfort level is in the third range, for example, 40 to 60%. Determine whether or not. When it is determined that the current comfort level is in the third range (40 to 60% range), the lamp driver 212 is instructed to output the illumination level 3. On the other hand, if it is determined that it is not within the third range (40 to 60% range), the process proceeds to step S904, and whether the current comfort level is within the fourth range, for example, 60 to 80%. Determine whether or not. When it is determined that the current comfort level is in the fourth range (range of 60 to 80%), the lamp driver 212 is instructed to output the illumination level 2. On the other hand, if it is determined that it is not in the fourth range (60 to 80% range), the process advances to step S909 to instruct the lamp driving unit 212 to output the illumination level 1. Note that the first to fourth ranges are not limited to the above-described examples, and can be changed as appropriate.

  The illumination level means that the higher the level (the larger the numerical value), the more light is emitted and the light of the color with high saturation is emitted. The lower the level (the smaller the numerical value), the smaller the amount of light, In addition, it means that light of a color with low saturation is irradiated.

  In other words, as the degree of comfort increases, the amount of light from the lamp is reduced and the color gradually changes to a low-saturation color.

6). Details of Comfort Level Storage Processing (Step S406) Details of the comfort level storage processing (step S406) will be described with reference to FIGS. When the measurement is completed and the comfort level transition graph 806, the final fluctuation degree 1001, the final electroencephalogram 1002, and the final illumination level 1003 are displayed, as shown in FIG. A screen 1201 is displayed. The measurement result save input screen 1201 includes a save button 1202 and a cancel button 1203. The save button 1202 is a button for instructing to save the measurement result measured this time by the measurement subject. A cancel button 1203 is a button for inputting an instruction not to save the measurement result measured this time.

  In FIG. 12, when the save button 1202 is pressed, various setting data set at the time of the current measurement are recorded in the data recording unit 213 in step S1101 of FIG. Further, in step S1102, calculation data (final fluctuation 1309, final brain wave 1310, final illumination level 1311, comfort degree 1312) is recorded in the data recording unit 212 in association with the setting data as shown in FIG. The final fluctuation degree, final electroencephalogram, and final illumination level recorded in the data recording unit 213 are one data at the time of completion of measurement, while the comfort level is a plurality of time-series data for each time during measurement. Is). At this time, the date and time when the measurement is completed are also recorded (1302).

  FIG. 13 is a diagram illustrating an example of various data (date and time, setting data, calculation data) recorded in the data recording unit 213 by the comfort level storing process.

  In the figure, reference numeral 1301 denotes a data number, which is assigned in ascending order according to the order of saving for each data to be saved.

  1302 is the date and time of measurement completion. Reference numerals 1303-1 to 1308 are setting data input by the measurement subject at the time of measurement, and reference numerals 1309 to 1312 are calculation data. Specifically, 1309 is the final fluctuation level at the completion of measurement, 1310 is the final electroencephalogram at the completion of measurement, 1311 is the final illumination level at the completion of measurement, and 1312 is the comfort level.

7). Details of Comfort Level Transition Graph Reproduction / Deletion Processing (Step S407) Details of the comfort level transition graph reproduction / deletion processing (step S407) will be described with reference to FIGS. When the play button 303 or the delete button 304 is pressed, it is determined in step S1401 in FIG. 14 which button of the play button 303 or the delete button 304 has been pressed.

  If it is determined in step S1401 that the play button 303 has been pressed, the process advances to step S1402, and the data list recorded in the data recording unit 213 is displayed on the data display unit 301. Reference numeral 1501 in FIG. 15 shows a state in which a data list is displayed. The measured person selects one of the data numbers described in the data list 1501 and presses the play button 1502.

  In step S1403, based on the data number selected by the person to be measured, data (setting data (aroma type), calculation data (comfort level 1312, final fluctuation level 1309, The final electroencephalogram 1310 and the final illumination level 1311)) are read out.

  In step S1404, the data read in step S1403 is displayed on the data display unit 301.

  If the measurement subject presses the cancel button 1503 when the data list 1401 is displayed, the data display unit 301 returns to the display before the playback button 303 is pressed.

  On the other hand, if it is determined in step S1401 that the delete button 304 has been pressed, the process advances to step S1405 to display the data list recorded in the data recording unit 213 on the data display unit 301. Reference numeral 1601 in FIG. 16 shows a state in which a data list is displayed. The measured person selects any of the data numbers described in the data list 1601 and presses the delete button 1602.

  In step S1406, the data of the data number selected by the measurement subject is deleted from the data recording unit 213. Subsequently, when the measurement subject selects another data number and presses the delete button 1602, the data of the data number is deleted from the data recording unit 213. That is, data can be continuously deleted until the cancel button 1603 is pressed.

  When the cancel button 1603 is pressed, the display returns to the display immediately before the delete button 304 is pressed in step S1407.

8). Details of Trend Graph Display Processing (Step S408) Details of the trend graph display processing (step S408) will be described with reference to FIGS.

  When the trend graph display button 305 is pressed, a trend graph display method selection screen 1800 shown in FIG. 18 is displayed on the data display unit 301.

  In step S1701, the trend graph display method selected by the person to be measured is accepted on the trend graph display method selection screen 1800. In step S1702, it is determined whether or not “display all data” (1801) is selected on the trend graph display method selection screen 1800.

  If it is determined in step S1702 that “display all data” (1801) has been selected, the process advances to step S1703 to extract all the comfort levels recorded in the data recording unit 213. In step S1704, the comfort level extracted in step S1703 is classified for each aroma type, the comfort level is averaged (for each time) for each aroma type, and is displayed in a graph after color-coding. .

  If it is determined in step S1702 that “display all data” (1801) is not selected (that is, if it is determined that “extract and display specific data” (1802) is selected), The process proceeds to step S1705.

  For example, when “extract and display specific data” (1802) is selected, the person to be measured, for example, “specific situation” (1803), “characteristic mental state” (1804), “specific physical condition” ( 1805), any one or more of “specific drugs” (1806) is selected.

  When a plurality of items are selected, the comfort level of the data number in which all the items are set is extracted.

  Therefore, in step S1705, the comfort level corresponding to the data number in which the selected setting data is set is extracted from the data recording unit 213. In step S1706, the extracted comfort level is classified for each aroma type, the comfort level is averaged for each aroma type, and the result is displayed in a graph after color-coding.

  FIG. 19 is an example of a trend graph displayed on the data display unit 301 (1901 is the aroma A comfort level transition graph, 1902 is the aroma B comfort level transition graph, and 1903 is the aroma C comfort level transition graph). FIG. The horizontal axis represents time, and the vertical axis represents comfort level (%).

  FIG. 20 is a trend graph displayed on the data display unit 301. The trend graph is displayed based on the comfort level measured when “Irritation” is set as the setting data (2001 is shown). Aroma A comfort level transition graph in an irritated state, 2002 is an aroma B comfort level transition graph in an irritated state, 2003 is an aroma C comfort level transition graph in an irritated state) It is a figure which shows an example.

  By looking at the trend graph of FIG. 19, it is possible to recognize aromas that are effective for the person being measured and aromas that are not very effective as a whole. Then, the person to be measured can finally recognize the most suitable aroma for improving his / her comfort level among a plurality of aromas (aroma C in the example of FIG. 19).

  Further, by looking at the trend graph of FIG. 19, the measurement subject can recognize an aroma having high immediate effect among a plurality of aromas (aroma A in the example of FIG. 19).

  Further, by comparing the trend graphs of FIG. 19 and FIG. 20, it is possible to recognize the most suitable aroma for improving the degree of comfort when the subject's subjective symptoms are “irritated”. (Aroma B in the example of FIG. 20). From such a result, for example, the aroma C is selected as an aroma suitable for improving the degree of comfort of the measurement person regardless of the condition of the measurement person himself, especially in the state of being irritated. It can be seen that aroma B should be selected.

  As is clear from the above description, the heartbeat fluctuation detection device according to the present embodiment measures the brain wave together with the heartbeat, calculates the comfort level based on the heart rate, the degree of fluctuation, and the brain wave, and the comfort level. Depending on the degree, it was decided to irradiate the subject with appropriate light. As a result, the measurement subject is irradiated with light according to his / her comfort level at bedtime, for example, and can sleep comfortably.

  In the present embodiment, the aroma selected by the measurement subject is generated simultaneously with the measurement, and the transition of the comfort level is visualized. As a result, the measurement subject can recognize the transition of the comfort level accompanying the occurrence of the aroma. In addition, it is possible to know which aroma is effective for the measurement subject by recording the degree of comfort in association with the type of aroma and displaying it as a trend graph. In addition, it is possible to know which aroma is immediately effective for the subject. Furthermore, by adopting a configuration in which the trend graph is displayed in association with the subject's subjective symptoms, the subject can find an aroma that is effective when the subject has specific subjective symptoms.

It is a figure which shows the external appearance structure of the heartbeat fluctuation detection apparatus concerning the 1st Embodiment of this invention. It is a figure which shows the function structure of the heartbeat fluctuation detection apparatus concerning the 1st Embodiment of this invention. 6 is a diagram illustrating an example of a screen of a display / operation unit 205. FIG. It is a flowchart which shows the flow of a process in the heart rate fluctuation detection apparatus concerning the 1st Embodiment of this invention. It is a flowchart which shows the flow of a measurement process (step S404). It is a figure which shows a mode that the setting data input screen 601 was displayed. It is a figure which shows a mode that the measurement start instruction | indication input screen 701 was displayed. It is a figure which shows an example of the data display part 301 after a measurement is started. It is a flowchart which shows the flow of an illumination control process (step S508). It is a figure which shows a mode that 805 which shows the transition of a comfort degree, the last fluctuation degree 1001 at the time of completion of measurement, the last electroencephalogram 1002, and the last illumination level 1003 were each displayed. It is a figure which shows a mode that the measurement result preservation | save input screen 1101 was displayed. It is a figure which shows the various data recorded on the data recording part 213 by the comfort degree preservation | save process. It is a figure which shows an example of the various data (Date, setting data, calculation data) recorded on the data recording part 213 by comfort degree preservation | save processing. It is a flowchart which shows the flow of a process of comfort degree transition graph reproduction | regeneration / deletion process (step S407). It is a figure which shows a mode that the data list was displayed. It is a figure which shows a mode that the data list was displayed. It is a flowchart which shows the flow of a process of a tendency graph display process (step S408). It is a figure which shows an example of a tendency graph display method selection screen. It is a figure which shows an example of the trend graph (1901 is the comfort degree transition graph of Aroma A, 1902 is the comfort degree transition graph of Aroma B, and 1903 is the comfort degree transition graph of Aroma C) displayed on the data display part 301. is there. A trend graph displayed on the data display unit 301, measured when “Irritation” is set as the setting data (2001 is a comfort level transition graph of Aroma A, 2002) Is a graph of an aroma B comfort level transition graph, and 2003 is an example of an aroma C comfort level transition graph. It is a figure for demonstrating the Lorentz plot method based on an electrocardiogram waveform. It is a figure for demonstrating the Lorentz plot method based on an electrocardiogram waveform. It is a figure which shows an example of a Lorenz plot.

Claims (10)

Extraction means for detecting the beat of the person to be measured, extracting the number of beats per unit time, and extracting the beat interval for each beat;
Analysis means for performing time domain analysis or frequency analysis based on the beat interval extracted by the extraction means;
Detecting means for detecting the brain wave of the subject;
Comfortability indicating whether or not the subject is in a mentally relaxed state based on the extracted number of beats, the analysis result by the analysis means, and the electroencephalogram detected by the detection means. Comfort degree calculating means for calculating the degree,
A heartbeat fluctuation detecting apparatus comprising: a display unit configured to display a graph of the temporal change of the calculated comfort level. Extraction means for detecting the beat of the person to be measured, extracting the number of beats per unit time, and extracting the beat interval for each beat;
Coordinate calculation means for calculating each coordinate data when the extracted beat interval of the nth beat and the beat interval of the (n + 1) th beat are sequentially plotted as a vertical axis or a horizontal axis of a two-dimensional graph region;
A variation calculating means for calculating a variation in the calculated coordinate data;
Whether or not the subject is in a mentally relaxed state based on the detected brain wave, the extracted number of beats and the calculated variation. Comfort degree calculating means for calculating a comfort degree representing
A heartbeat fluctuation detecting apparatus comprising: a display unit configured to display a graph of the temporal change of the calculated comfort level. The comfort degree calculation means calculates the comfort degree by calculating A × (number of beats per unit time) + B × variation + C × electroencephalogram + D using predetermined coefficients A, B, C, and D. The heartbeat fluctuation detection apparatus according to claim 2, wherein the heartbeat fluctuation detection apparatus calculates the heartbeat fluctuation. The heartbeat according to claim 1 or 2, further comprising illumination control means for controlling a light amount or a color of an irradiation unit that emits light of a predetermined light amount and color according to the calculated degree of comfort. Fluctuation detection device. Aroma generation instruction means for instructing the aroma generator so that the aroma selected by the measurement subject among the plural types of aroma is generated in parallel with the detection of the pulsation is further provided. The heartbeat fluctuation detection device according to claim 1 or 2. Setting means for setting information on the subject;
A storage unit for storing display data for displaying the change in the degree of comfort over time in association with the information on the person to be measured and the aroma type;
6. The heartbeat fluctuation detecting device according to claim 5, wherein the display means further displays a graph of the averaged data obtained by dividing the display data for each aroma type and averaging. The display means further includes:
Extracting the display data associated with predetermined information from the information on the measurement subject and further displaying the extracted averaged data obtained by dividing and averaging for each aroma type in a graph The heartbeat fluctuation detecting device according to claim 6, wherein Extracting the number of beats per unit time from the beat of the person being measured, and extracting the beat interval for each beat;
An analysis step for performing a time domain analysis based on the beat interval extracted by the extraction step;
An acquisition step of acquiring the subject's brain waves;
Comfort that represents whether or not the measurement subject is mentally relaxed based on the extracted number of beats, the analysis result of the analysis step, and the electroencephalogram acquired by the acquisition step. Comfort degree calculation process for calculating the degree,
And a display step of displaying the calculated temporal change in the degree of comfort in a graph. Extracting the number of beats per unit time from the beat of the person being measured, and extracting the beat interval for each beat;
A coordinate calculation step of calculating each coordinate data when the extracted beat interval of the nth beat and the beat interval of the (n + 1) th beat are sequentially plotted as a vertical axis or a horizontal axis of a two-dimensional graph region;
A variation calculating step of calculating a variation of the calculated coordinate data;
Whether or not the subject is in a mentally relaxed state based on the brain wave of the subject and based on the acquired brain wave, the extracted number of beats, and the calculated variation A comfort degree calculating step for calculating a comfort degree representing
And a display step of displaying the calculated temporal change in the degree of comfort in a graph. A control program for realizing the information processing method according to claim 8 or 9 by a computer.

Images