JP2009078179A - State transition monitoring device and state transition displaying method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a state transition displaying method which enables rough understanding of a state transition, and to provide a monitoring device for it. <P>SOLUTION: A device includes a receiving section 22 which receives data showing the amount of change in the vertical direction of an object; and a category section 23 which determines whether the object is in a respiratory condition or in a state of body motion from the data received, integrates intervals corresponding to the period of the signed total time waveform of data received when in the respiratory condition and categorizes further according to the integration value, and in the state of body motion, categorizes further into a specified state category from the time length where the total of absolute values or the total of square values of data received exceeds a specified threshold. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a state transition display method for displaying the state transition of an object and its monitor device, and more particularly to a state transition display method for easily grasping a state transition and its monitor device.

  Conventionally, there is a state transition display method for displaying the state transition of an object and its monitoring device, for example, a state transition display method for associating a person's breathing information and electrocardiogram information on the same time axis and outputting them on the same page and the like There was a monitor device (see, for example, Patent Document 1).

Japanese Patent Laid-Open No. 2003-559 (pages 5-7 and 4-9)

  However, in the conventional state transition display method and the monitor device as described above, for example, when performing state monitoring for a long time, the display mode is complicated, and it is difficult for the observer to grasp the state transition. It was.

  SUMMARY OF THE INVENTION Accordingly, an object of the present invention is to provide a state transition display method that easily grasps a state transition and a monitor device thereof.

  In order to achieve the above object, the monitoring apparatus according to the first aspect of the present invention is a measurement value of the change in the height direction at a plurality of different points on the object, for example, as shown in FIG. A receiving unit 22 that receives data, and a change amount of the received data is added with a positive or negative sign corresponding to a change direction, and is a sum total of the change amounts of the plurality of different points with a sign. A total sum of 1 and a second sum that is the sum of absolute values or sums of squares of the change amounts of the plurality of different points, and takes the value of the first sum or the value of the second sum And determining whether the state of the object is due to respiratory motion or body motion, and when the determined state of the object is due to the respiratory motion, the time of the value of the first sum total Divide the waveform into sections corresponding to the period of the waveform, and When the determined state of the object is further classified into a plurality of predetermined state categories based on the time integration value of the first sum value, and the determined state of the object is due to the body movement Comprises a classification unit 23 for further classifying the state of the determined object into a plurality of predetermined state categories based on a time length during which the value of the second total sum is equal to or greater than a predetermined threshold value. Yes.

  If comprised in this way, since the state of a target object will be determined and classified based on the measured data, the monitor apparatus which can grasp a state transition roughly will be provided.

  In addition, the monitor device according to the second aspect of the present invention, for example, as shown in FIG. 1, receives a data 22 that is a measurement value of a change amount in the height direction at a plurality of different points on the object. And taking a first sum that is a sum of the change amounts of the plurality of different points with a positive or negative sign corresponding to a change direction with respect to the change amount of the received data, and , Taking a second sum which is a sum of absolute values or sums of squares of the change amounts of the plurality of different points, and the state of the object is based on the value of the first sum or the second sum. When the state of the object is determined by exercise or body movement, and the determined state of the object is determined by the respiratory motion, the first sum value is a predetermined threshold value of 1 or 2 or more Based on the above, it is further classified into a predetermined state category, and the determination In the case where the state of the object is determined by the body movement, the state of the determined object is further determined based on a length of time for which the value of the second sum is equal to or greater than a predetermined threshold. A classifying unit 23 for classifying into categories.

  If comprised in this way, since the state of a target object will be determined and classified based on the measured data, the monitor apparatus which can grasp a state transition roughly will be provided.

  In addition, the monitor device according to the third aspect of the present invention, for example, as shown in FIG. 1, receives a data 22 that is a measurement value of a change amount in the height direction at a plurality of different points on the object. And taking a first sum that is a sum total of the change amounts of the plurality of different points with a positive or negative sign corresponding to the change direction with respect to the change amount of the received data, It is determined whether the state of the object is due to respiratory movement or body movement based on the value of the first sum, and when the determined state of the object is due to the respiratory movement, The time waveform of the sum value is divided into sections corresponding to the period of the waveform, and is further classified into predetermined state categories based on the time integral value of the first sum value in the section, and the determined If the state of the object is due to the body movement, the determined And a classification unit 23 that classifies the predetermined state categories based on the state more time length value is a predetermined threshold or more of said first sum elephant thereof.

  If comprised in this way, since the state of a target object will be determined and classified based on the measured data, the monitor apparatus which can grasp a state transition roughly will be provided.

  Further, the monitor device according to the fourth aspect of the present invention is, for example, as shown in FIG. 1, in the inventions according to the first aspect to the third aspect, the duration time of the classified respiratory motion and body motion state. And an information generating unit 24 for generating data indicating a ratio of duration of the predetermined state category, and generating information in which the generated data is arranged in time series. ing.

  With this configuration, the state of the object is determined and classified based on the measured data, and information indicating the ratio of the duration of the classified state is generated in time series. It is possible to provide a state transition display method that can be easily grasped.

  In addition, as shown in FIG. 1, for example, the monitor device according to the fifth aspect of the present invention measures the movement of the object in the height direction at a plurality of points in the fourth aspect of the invention. You may comprise so that the three-dimensional sensor 10 which transmits the data which show the movement to the said receiving part may be provided.

  Further, as shown in FIG. 1, for example, in the fifth aspect of the invention, the three-dimensional sensor 10 includes a projection device 11 that projects pattern light onto a target region, and the monitor device according to the sixth aspect of the present invention. You may comprise so that it may have the imaging device 12 which images the object area | region where the pattern light was projected, and the measurement means 14 which measures the movement of the pattern on the said imaged image.

  In order to achieve the above object, the state transition display method according to the seventh aspect of the present invention measures the amount of change in the height direction at a plurality of different points on the object, for example, as shown in FIG. It is the sum total with the sign of the change amount of the plurality of different points with the positive or negative sign corresponding to the change direction for the change amount measured at the measurement step (S100) and the plurality of different points. Take the first sum and take the second sum which is the sum of the absolute values or the sum of the squares of the change amounts of the plurality of different points, the value of the first sum or the value of the second sum And determining whether the state of the object is due to respiratory motion or body motion, and if the determined state of the object is due to the respiratory motion, the value of the first sum Dividing the time waveform into sections corresponding to the period of the waveform, The determined state of the object is further classified into a plurality of predetermined state categories based on a time integral value of the first sum value of the first sum, and the determined state of the object is the body motion exercise In the case of, the classification step of further classifying the state of the determined object into a plurality of predetermined state categories based on a time length in which the value of the second sum is equal to or greater than a predetermined threshold (S104) And categorizing the durations of the classified respiratory motion and body motion states at regular intervals for each state, generating data indicating the proportion of the duration of the predetermined state category, and generating the generated data And an information generation step (S106) for generating information arranged in time series.

  With this configuration, the state of the object is determined and classified based on the measured data, and information indicating the ratio of the duration of the classified state is generated in time series. It is possible to provide a state transition display method that can be easily grasped.

  In order to achieve the above object, the state transition display method according to the eighth aspect of the present invention measures the amount of change in the height direction at a plurality of different points on the object, for example, as shown in FIG. The measurement step (S100) is a sum total of the change amounts measured at the plurality of different points with a positive or negative sign corresponding to the change direction and the change amounts of the plurality of different points with a sign. Take the first sum and take the second sum which is the sum of the absolute values or the sum of the squares of the change amounts of the plurality of different points, the value of the first sum or the value of the second sum Whether the state of the object is due to respiratory movement or body movement, and if the determined state of the object is due to the respiratory movement, the value of the first sum is determined in advance. The determination is based on one or more thresholds provided. If the state of the object is further classified into a plurality of predetermined state categories and the determined state of the object is due to the body movement, the value of the second sum is not less than a predetermined threshold value. A classification step (S104) for further classifying the determined state of the target object into a plurality of predetermined state categories based on the length of time, and the duration time of the classified respiratory motion and body motion state Separately, the information generation step (S106) is performed to generate data indicating the ratio of durations of the plurality of predetermined state categories, and to generate information in which the generated data is arranged in time series. Prepare.

  With this configuration, the state of the object is determined and classified based on the measured data, and information indicating the ratio of the duration of the classified state is generated in time series. It is possible to provide a state transition display method that can be easily grasped.

  As described above, according to the present invention, the measurement step of measuring the data indicating the state of the object; the state of the object is determined based on the measured data; and the state of the determined object is determined. A classification step for classifying into a plurality of predetermined state categories; and stacking the durations of the classified states at regular intervals for each state to generate data indicating a ratio of durations of the plurality of predetermined state categories The information generation step of generating information in which the generated data is arranged in time series is provided, so that it is possible to provide a state transition display method that makes it easy to grasp the state transition roughly.

It is a block diagram which shows the structural example of the monitor apparatus of embodiment of this invention. It is the figure which showed an example of the display mode of the display data of embodiment of this invention. It is a typical perspective view explaining the projector of an embodiment of the invention. It is a conceptual perspective view explaining the concept of the movement of the bright spot in the embodiment of the present invention. FIG. 5 is a schematic diagram illustrating a bright spot imaged on an imaging surface in the case of FIG. 4. It is an external appearance perspective view explaining the example of installation of the FG sensor in embodiment of this invention. It is a figure explaining the calculation of the moving amount of the bright spot and the moving direction of the bright spot in the embodiment of the present invention. It is a diagram explaining the calculation of the height of the target object in the case of FIG. It is a schematic diagram explaining determination of a person's state by the classification | category part in embodiment of this invention. It is the schematic shown about the waveform pattern of respiration used by embodiment of this invention. It is a flowchart which shows the state transition display method of embodiment of this invention.

  Embodiments of the present invention will be described below with reference to the drawings. In addition, in each figure, the same code | symbol is attached | subjected to the mutually same or equivalent member, and the overlapping description is abbreviate | omitted.

  The monitor device 1 will be described with reference to a block diagram showing a configuration example of the monitor device 1 according to the embodiment of the present invention in FIG. The monitor device 1 receives the measurement data as data indicating the state of the object, and determines the state of the object based on the data received by the receiving unit 22, and the state of the determined object Are classified into a plurality of predetermined state categories, and the durations of the states classified by the classification unit 23 are stacked at regular intervals for each state to indicate the ratio of the durations of the plurality of predetermined state categories An information generation unit 24 that generates a bar graph as data and generates display data as information in which the generated bar graphs are arranged in time series. Furthermore, the monitor device 1 includes an FG sensor 10 as a three-dimensional sensor that measures the movement of the object in the height direction at a plurality of points and transmits measurement data indicating the measured movement to the receiving unit 22. In the present embodiment, the object is a breathing object, such as a person or an animal. In the present embodiment, the object is described as a person.

  In addition, the monitor device 1 includes an arithmetic device 20. The arithmetic device 20 includes a control unit 21 that controls each unit of the monitor device 1. Further, the control unit 21 includes the reception unit 22, the classification unit 23, and the information generation unit 24 described above. The arithmetic device 20 and the control unit 21 will be described later.

  The FG sensor 10 is a projection device 11 that projects pattern light onto a target region, an imaging device 12 that images the target region onto which the pattern light is projected, and a measurement unit that measures movement of a pattern on the captured image. And a measuring device 14. In the present embodiment, the target area is the bed 3 described later with reference to FIG. The FG sensor 10 will be described in detail with reference to FIG.

  The measuring device 14 is configured to measure the movement of the person in the height direction at a plurality of points based on the measured movement of the pattern. The projection device 11 and the imaging device 12 are electrically connected to the measurement device 14 and controlled by the measurement device 14. In the present embodiment, the measuring device 14 is configured integrally with the control unit 21. Here, the projected pattern light is a plurality of bright spots, and the plurality of bright spots projected on the target area respectively correspond to the plurality of measurement points on the target area. The projected pattern light will be described in detail with reference to FIG. The imaging device 12 is typically a CCD camera. The measuring device 14 is configured to transmit the moving amount of the bright spot measured for each bright spot forming the pattern, that is, the height change amount, which is the variation information of the measured bright spot, to the receiving unit 22 as measurement data. Has been. Further, the measuring device 14 is configured to obtain a waveform relating to respiratory motion, that is, a respiratory waveform, by taking a sum with a sign for the amount of movement of each bright spot that has moved.

  Furthermore, the measuring device 14 is configured to be able to calculate the volume variation of a person. The volume variation amount can be calculated from the height variation amount that is variation information. In this case, for example, the sum of the height fluctuation amounts may be used as the volume fluctuation amount. Thus, by calculating the volume fluctuation amount, for example, the ventilation amount at the time of breathing of a person can be known. Similar to the height change amount, the calculated volume fluctuation amount is also configured to be transmitted to the receiving unit 22 as measurement data. That is, here, the measurement data may be a height change amount or a volume fluctuation amount. There are also both cases.

  The receiving unit 22 is configured to receive the measurement data measured by the measurement device 14 and transmit the received measurement data to the classification unit 23.

  The classification unit 23 is configured to determine the state of the person based on the measurement data received from the reception unit 22 and classify the determined state of the person into a plurality of predetermined state categories. The data is determined and classified by providing a threshold. The types of person states determined and classified by the classification unit 23 are typically breathing, body movement, and no movement (immobility). That is, the classification unit 23 is configured to detect a person's breathing based on the movement amount of the bright spot. The body movement in the present embodiment is a movement of a person's body, and is a concept that includes a wide range of movements such as standing and sitting, as well as movement of limbs and turning over.

  The classification unit 23 sets and determines three threshold values for the measurement data indicating the respiratory waveform received from the reception unit 22, thereby reducing respiratory motion stop (or apnea) respiratory motion decrease (or low (Ventilation), respiratory movement stability (or normal breathing), respiratory movement increase (or hyperventilation)). For example, when the state where the amplitude is below the smallest threshold value continues for a predetermined time, for example, about 10 seconds, the classification unit 23 classifies the respiratory motion as stopped (or apnea). Note that body motion can be added to the state category using a larger threshold.

  In addition, the case classification regarding the breathing by the classification unit 23 is determined by dividing one breath in a section in which the breathing waveform is zero-crossed, and providing three threshold values for the integrated value between them, that is, the ventilation volume in one breath. May be. Accordingly, the classification unit 23 may classify, for example, as respiratory motion stop (or apnea) respiratory motion decrease (or hypoventilation), respiratory motion stability (or normal breathing), or respiratory motion increase (or hyperventilation).

  In the case classification relating to body motion, the classification unit 23 obtains a waveform related to body motion other than breathing, that is, body motion by taking the sum of absolute values or the sum of squares of the movement amount of each moving bright spot. It is comprised so that a waveform can be obtained. For example, the classification unit 23 sets one threshold value for the amplitude of the body motion waveform, and determines the time during which the threshold value is continuously exceeded. Respiratory motion (within 5 seconds) Non-respiratory body motion that lasts for 5 to 30 seconds or non-respiratory body motion (5 to 30 seconds) It is good to classify into (30 seconds or more).

  In other words, there are roughly two types of state categories in the present embodiment: breathing and body movement. Breathing is further classified and respiratory motion is stopped, respiratory motion is lowered, respiratory motion is stabilized, and respiratory motion is increased (or apnea). , Hypoventilation, normal breathing, hyperventilation), body movements are further classified and non-respiratory body movements (within 5 seconds), non-respiratory body movements (from 5 seconds to 30 seconds), non-respiratory body movements (30 3) (seconds or more), and a bed where no signal can be obtained is added to this, so that it is classified into 8 state categories in total. The classification unit 23 is configured to transmit the classified state category data to the information generation unit 24.

  The classification unit 23 is configured to determine and classify the measurement data by providing a threshold value. However, the classification unit 23 is not limited to this, and a range in which a desired state category group can be obtained based on the measurement data. It is sufficient to configure so as to determine and classify as appropriate. A specific example of the configuration of the FG sensor 10 of this embodiment and the determination of the state of a person will be described in detail later with reference to FIGS.

  The information generation unit 24 is configured to generate a bar graph as described below based on a plurality of state category data received from the classification unit 23. The bar graph typically takes the form of a stacked bar graph that shows the total amount of time each state category lasted for a certain time, here every 6 minutes, at a rate of 100%. The duration is formed by adding a plurality of intermittent durations. For example, if the respiratory activity stop status category lasts for the first 10 seconds and the last 26 seconds within 6 minutes, the duration of the respiratory motion stop will be a total of 36 seconds. That is, the ratio of the state category of respiratory movement stop in 6 minutes is 10%.

  Further, the information generation unit 24 is configured to generate display data in which the generated bar graph is time-sequentially, here, the bar graph every 6 minutes is 9 hours, that is, 90 bar graphs are arranged over time. Yes. That is, the information generation unit 24 generates display data by arranging 100% stacked bar graphs indicating the ratios of a plurality of possible status categories every 6 minutes over the entire measurement period. The information generation unit 24 transmits the generated display data to the display 40 described later, and the display 40 is configured to display the received display data as an image. Note that the display data generated by the information generating unit 24 may be stored as data that can be displayed as a bar graph, even though it is not actually displayed as a bar graph.

  FIG. 2 is a diagram illustrating an example of a display mode of display data. In the drawing, a vertical axis indicating the ratio of each state category group in the bar graph as a percentage is arranged in the vertical direction toward the page, and a horizontal axis indicating the elapsed time, that is, the order of each bar graph, is arranged in the horizontal direction. As described above, each bar graph shows the ratio of each state category every 6 minutes, such as getting out of bed, non-respiratory motion (within 5 seconds), non-respiratory motion (5 to 30 seconds), non-respiratory motion. (30 seconds or more), the respiratory motion is stabilized, the respiratory motion is stopped, the respiratory motion is increased, and the respiratory motion is decreased in this order.

  Further, the first bar graph indicating the state from immediately after the start of measurement to 6 minutes later is arranged on the leftmost side of the first quadrant. On the right side of the first bar graph, a bar graph for the second period, that is, a bar graph indicating the state from 6 minutes to 12 minutes after the start of measurement, is arranged at an appropriate interval so that each bar graph can be easily seen. The Thereafter, similarly, a bar graph for each period is arranged, and a bar graph for the 90th period, that is, a bar graph indicating a state from 534 minutes after the start of measurement to 540 minutes is arranged on the rightmost side. Therefore, a total of 90 bar graphs are arranged, and the state for 9 hours is continuously shown. By displaying the display data as described above, each state category has a visual connection, and is formed so that the observer can easily grasp the state transition continuously.

  Returning to FIG. 1, the control unit 21 is configured to control each unit of the monitor device 1, and includes a reception unit 22, a classification unit 23, and an information generation unit 24. The control unit 21 is composed of, for example, a CPU, and is configured to control each unit by executing a program for controlling the CPU stored in a storage unit 31 to be described later and perform a necessary operation.

  Further, the control unit 21 includes a storage unit 31 for storing various data, an input device 35 for inputting information for operating the monitor device 1, and data received from the control unit 21, typically an information generation unit 24. A display device that displays the generated display data and makes it visible, in this case, a display 40 is connected. The storage unit 31 is a ROM or a hard disk drive, and is configured integrally with the control unit 21.

  The storage unit 31 may be configured to store an image acquired from the imaging device 12 and measurement data from the measurement device 14 in time series. The storage unit 31 is configured to store the bar graph and display data generated by the information generation unit 24.

  The input device 35 is, for example, a touch panel, a keyboard, or a mouse. Although the input device 35 is illustrated as being externally attached to the arithmetic device 20 in this figure, it may be incorporated.

  The display 40 is typically an LCD. The display 40 is configured to display an image of the display data generated by the information generation unit 24 and the display data stored in the storage unit 31. In addition to the display data, an image, measurement data, or the like acquired from the imaging device 12 may be displayed as an image.

  The arithmetic unit 20 includes a control unit 21 and is typically a computer such as a personal computer. In the present embodiment, the arithmetic device 20 is remotely arranged with respect to the projection device 11 and the imaging device 12. Specifically, for example, it is installed in the side of the bed or in a room different from the room in which the bed is installed, more specifically in a nurse station or the like. It may be arranged.

  Further, an interface 32 is provided in the arithmetic unit 20. The interface 32 is connected to the control unit 21, and is an external device 33, such as a printer, an electroencephalograph that measures weak electrical activity of the brain, a pulse oximeter that measures blood oxygen saturation, a thermistor that indicates oral and nasal airflow, and the like. In order to connect the external device to the computing device 20, a LAN interface, a serial interface such as RS-232C, USB, IEEE1394, a connection device unique to each measuring device, or the like is used.

  With reference to the schematic perspective view of FIG. 3, the projection apparatus 11 suitable for the monitor apparatus 1 is demonstrated. Here, for the sake of explanation, a case will be described where the target region is the plane 102 and a laser beam L1 described later is projected perpendicularly to the plane 102. The projection apparatus 11 includes a light beam generation unit 105 serving as a light beam generation unit that generates a coherent light beam, and a fiber grating 120 (hereinafter simply referred to as a grating 120). The coherent light beam projected by the light beam generation unit 105 is typically an infrared laser. The light beam generation unit 105 is configured to generate a parallel light beam. The light flux generation unit 105 is typically a semiconductor laser device including a collimator lens (not shown), and the generated parallel light flux is a laser light flux L1. The laser light beam L1 is a light beam having a substantially circular cross section. Here, the parallel light flux only needs to be substantially parallel, and includes a nearly parallel light flux. The substantially circular shape includes a substantially elliptical shape.

  Further, here, the grating 120 is disposed in parallel to the plane 102 (perpendicular to the Z axis). Laser light L1 is incident on the grating 120 in the Z-axis direction. Then, the laser beam L1 is condensed in a plane having the lens effect by each optical fiber 121, and then spreads as a diverging wave, interferes, and interferes with a plurality of bright spot arrays on the plane 102 which is a projection plane. A pattern 11a is projected. Note that the arrangement of the grating 120 in parallel with the plane 102 means, for example, that the plane including the axis of each optical fiber 121 of the FG element 122 constituting the grating 120 and the plane 102 are parallel.

  The grating 120 includes two FG elements 122. In the present embodiment, the planes of the FG elements 122 are parallel to each other. Hereinafter, the plane of each FG element 122 is referred to as an element plane. In the present embodiment, the axes of the optical fibers 121 of the two FG elements 122 are substantially orthogonal to each other.

  The FG element 122 is configured by arranging, for example, several tens to several hundreds of optical fibers 121 having a diameter of several tens of microns and a length of about 10 mm in parallel in a sheet shape. Further, the two FG elements 122 may be arranged in contact with each other, or may be arranged at a distance from each other in the normal direction of the element plane. In this case, the distance between the two FG elements 122 is set so as not to interfere with the projection of the pattern 11a. The laser beam L1 is typically incident perpendicular to the element plane of the grating 122.

  Thus, since the grating 120 configured to include the two FG elements 122 serves as an optical system, the optical housing can be downsized without requiring a complicated optical system. Furthermore, by using the grating 120, the projection device 11 can project a plurality of bright spots 11b as a pattern 11a onto the target area with a simple configuration. The pattern 11a is typically a plurality of bright spots 11b arranged in a square lattice pattern. The bright spot has a substantially circular shape including an ellipse.

  The imaging device 12 will be described with reference to the conceptual perspective view of FIG. The imaging device 12 has an imaging optical system 12 a and an imaging element 15. The image sensor 15 is typically a CCD image sensor. In addition to the CCD, an element having a CMOS structure has recently been actively announced as the image pickup element 15, and these can naturally be used. In particular, some of the elements themselves have inter-frame difference calculation and binarization functions, and it is preferable to use these elements.

  The imaging device 12 may include a filter 12b that attenuates light having a wavelength other than the peripheral portion of the wavelength of the laser light beam L1 generated by the light beam generation unit 105 (see FIG. 3). The filter 12b is typically an optical filter such as an interference filter, and may be disposed on the optical axis of the imaging optical system 12a. In this way, the imaging device 12 can reduce the influence of disturbance light because the light intensity of the pattern 11a projected from the projection device 11 out of the light received by the imaging device 15 is relatively increased. The laser beam L1 generated by the beam generator 105 is typically an infrared laser beam. Further, the laser beam L1 may be irradiated continuously or intermittently. When irradiating intermittently, imaging by the imaging device 12 is performed in synchronization with the timing of irradiation.

  Here, the concept of bright spot movement will be described. Here, it is easy to understand, and the target area will be described as the plane 102 and the target object as the object 103. Further, here, for description, the reference image is an image of the pattern 11a when the object 103 is not present on the plane 102, and the acquired image is described as the pattern 11a when the object 103 is present on the plane 102. To do.

  In the figure, an object 103 is placed on the plane 102. Further, the orthogonal coordinate system XYZ is taken so that the XY axis is placed in the plane 102, and the object 103 is placed in the first quadrant of the XY coordinate system. On the other hand, a projection device 11 and an imaging device 12 are arranged above the plane 102 on the Z axis in the drawing. The imaging device 12 images the plane 102 on which the pattern 11 a is projected by the projection device 11. That is, the object 103 placed on the plane 102 is imaged.

  Here, the imaging lens 12a as the imaging optical system of the imaging device 12 is disposed so that its optical axis coincides with the Z-axis. The imaging lens 12 a forms an image of the pattern 11 a on the plane 102 or the object 103 on the imaging surface 15 ′ (image plane) of the imaging device 15 of the imaging device 12. The image plane 15 'is typically a plane orthogonal to the Z axis. Further, an xy orthogonal coordinate system is taken in the image plane 15 'so that the Z axis passes through the origin of the xy coordinate system. The projection device 11 is arranged at a distance equal to the imaging lens 12a from the plane 102 and a distance d (baseline length d) from the imaging lens 12a in the negative direction of the Y axis. A pattern 11 a formed by a plurality of bright spots 11 b is projected onto the object 103 and the plane 102 by the projection device 11.

  The pattern 11 a projected onto the plane 102 by the projection device 11 is blocked by the object 103 and does not reach the plane 102 in a portion where the object 103 exists. Here, if the object 103 exists, the bright spot 11 b to be projected onto the point 102 a on the plane 102 is projected onto the point 103 a on the object 103. Since the bright spot 11b has moved from the point 102a to the point 103a and the imaging lens 12a and the projection device 11 are separated by a distance d (baseline length d), the point 102a is formed on the imaging plane 15 ′. An image to be imaged at '(x, y) is imaged at a point 103a' (x, y + δ). In other words, the image of the bright spot 11b moves by a distance δ in the y-axis direction between the time when the object 103 does not exist and the time when the object 103 exists.

  For example, as shown in FIG. 5, the bright spot imaged on the imaging surface 15 ′ of the image sensor 15 is moved in the y-axis direction by δ by the object 103 having a height.

  Thus, by measuring the movement amount δ of the bright spot, the position of the point 103a on the object 103 can be specified three-dimensionally. That is, for example, the height of the point 103a is known. In this way, by measuring the difference between a point that should be imaged on the imaging plane 15 ′ if the object 103 is not present and the actual imaging position on the imaging plane 15 ′, The height distribution of the object 103, in other words, the three-dimensional shape can be measured. Alternatively, the three-dimensional coordinates of the object 103 can be measured. Further, if the pitch of the pattern 11a, that is, the pitch of the bright spot 11b is made fine enough that the correspondence relationship of the bright spot 11b is not unknown, the height distribution of the object 103 can be measured in detail.

  Next, an installation example of the FG sensor 10 will be described with reference to an external perspective view of FIG. A person 2 lies on the bed 3 in the figure. In addition, a bedding 4 is hung on the person 2 and covers a part of the person 2 and a part of the bed 3. In this case, the FG sensor 10 measures the movement of the upper surface of the bedding 4 in the height direction. When the bedding 4 is not used, the FG sensor 10 measures the movement of the person 2 in the height direction. The FG sensor 10 is arranged in the target area, that is, above the bed 3 in the vertical direction.

  The projection device 11 and the imaging device 12 constituting the FG sensor 10 are arranged above the bed 3. In the drawing, the projection device 11 is disposed approximately above the head of the person 2, and the imaging device 12 is disposed approximately at the center of the bed 3 or slightly above the head from the center. The projection device 11 projects a pattern 11 a on the bed 3. In addition, the angle of view of the imaging device 12 is set so that an approximately central portion of the bed 3 including a portion corresponding to the upper half of the person 2 can be captured. The imaging device 12 is installed so as to look down on the bed 3 substantially vertically, but may be installed with a certain degree of inclination.

  Here, the projection device 11 is installed so that its optical axis (projection direction of the laser beam L1 (see FIG. 3)) is directed to approximately the center of the visual field of the imaging device 12 on the upper surface of the bed 3, as shown in the figure. .

  By installing as described above, for example, it is possible to easily install the imaging device 12 and the projection device 11 apart from each other. In other words, it is easy to increase the base length of the triangulation method. Here, as described above, the projection device 11 is installed with its optical axis tilted with respect to the vertical direction of the upper surface of the bed 3, but as with the imaging device 12, its optical axis is set on the upper surface of the bed 3. You may install in a parallel direction with respect to a perpendicular direction. Further, the projection device 11 and the imaging device 12 may be installed with their optical axes oriented in parallel to each other.

  The projection device 11 and the imaging device 12 may be installed with a certain distance. By doing so, the distance d (baseline length d) described above with reference to FIG. 4 is increased, and therefore, a change can be detected sensitively. The base line length is preferably long, but may be short. However, in this case, it is difficult to detect small movements such as respiration, but small movements (breathing) can be detected by detecting the barycentric position of the bright spot as described later.

  The measuring device 14 is configured to acquire an image captured by the imaging device 12. Further, the measuring device 14 is configured to measure the movement of each bright spot on the image picked up by the image pickup device 12. Here, the projected bright spot and the image of the bright spot on the captured image are simply referred to as bright spot for convenience. Further, here, measuring the movement of the bright spot means measuring the amount of movement of the bright spot (hereinafter referred to as the movement amount).

  Here, the measurement of the movement of the bright spot by the measuring device 14 will be described in detail. The measurement device 14 is configured to measure the movement of the bright spot based on two different time points acquired from the imaging device 12.

  Here, measurement of the movement of the bright spot based on the images at two different time points will be described. The images at two different time points may be an arbitrary time point and a slightly previous time point. “Slightly before” only needs to be a time interval sufficient to detect the movement of the person 2. In this case, when a slight movement of the person 2 is desired to be detected, the time is short, for example, the movement of the person 2 does not become too large, and the time can be regarded as substantially no movement, for example, about 0.1 seconds. . Or it is good to set it as the 1-10 period (1 / 30-1 / 3) of a television period. Further, when it is desired to detect a rough movement of the person 2, it may be long, for example, about 10 seconds. However, in the case of detecting the respiration of the person 2 as in the present embodiment, if it is too long, accurate detection of respiration cannot be performed. Hereinafter, an image acquired at an arbitrary time (current) is described as an acquired image, and an image acquired slightly before (past) the acquired image is described as a reference image. The reference image is stored in the storage unit 31 (see FIG. 1). In the present embodiment, the images at two different time points are an acquired image (N frame) and an image (N-1 frame) acquired immediately before the acquired image. That is, the reference image is an image acquired immediately before the acquired image. The image acquisition interval may be appropriately determined depending on, for example, the processing speed of the apparatus and the content of the motion to be detected as described above. For example, the interval is 0.1 to 3 seconds, preferably about 0.1 to 0.5 seconds. It is good to do. In addition, it is effective to acquire images at shorter time intervals and perform averaging or filtering to reduce the influence of random noise, for example. The acquisition interval may be a relatively long time, for example, about 5 to 20 seconds. In this case, for example, it becomes easy to detect a large body movement of the person 2.

  Note that the waveform obtained by measuring the movement of the bright spot based on the images at two arbitrary time points, which are slightly different from the previous time point (for example, when the total amount of bright spot movement) is taken per unit time Volume fluctuation waveform, or a rough fluctuation waveform of average height per unit time, that is, a waveform representing a change in volume fluctuation or a change in average height. For example, when it is desired to obtain a waveform representing the transition of the height, the waveform of the distance, that is, the waveform indicating the transition of the height is obtained by integrating the waveform.

  Here, when the total amount of movement is taken, the volume fluctuation amount per unit time is generally shown. Since the movement of each bright spot indicates individual height fluctuations, taking the summation results in volume fluctuations. The amount of movement of each bright spot is a change in bright spot position per unit time at each bright spot position (that is, bright spot moving speed), which roughly corresponds to a height change in unit time.

  Here, the acquired image and the reference image are images picked up by the image pickup device 12, for example, and are concepts including the position information of the bright spot on each image. That is, the acquired image and the reference image are images of the pattern 11a formed by the projection of the projection device 11 at each time point. In the present embodiment, the reference image is stored in the storage unit 31 (see FIG. 1) in the form of position information such as coordinates regarding the position of each bright spot, for example, not as a so-called image. In this way, when measuring the movement amount of the bright spot, which will be described later, for example, it is only necessary to compare the coordinates and direction of the bright spot, so the processing becomes simple. Further, here, the position of the bright spot is the barycentric position of the bright spot. By doing so, a slight movement of the bright spot can be measured.

  Further, the moving amount of the bright spot is obtained by comparing the position information of each bright spot on the reference image stored in the storage unit 31 (see FIG. 1) with the position information of each bright spot on the acquired image. Measure the amount of bright spot movement. Each amount of movement can be obtained, for example, by counting the number of pixels to which the position of the bright spot has moved (how many pixels have moved). The measured movement amount of the bright spot is a concept including the moving direction of the bright spot. That is, information on the moving direction is included in the measured moving amount of the bright spot. In this way, as will be described later, it is not necessary to generate a difference image, so that the processing can be simplified.

  In the above description, the position information of the bright spots is compared. However, a difference image between the reference image and the acquired image may be created. In this case, the movement amount of the bright spot is measured from the difference image based on the position of the corresponding bright spot. In this way, since only the moved bright spot remains on the difference image, the processing amount can be reduced.

  Furthermore, the moving amount of the bright spot measured by the measuring device 14 may be a moving average value or a period average value of the moving amount of the bright spot that has been measured a certain number of times in the past or measured within a certain past period. In this way, random noise and sudden noise caused by sunlight flickering from the window can be reduced, and the reliability of the measured moving amount of bright spots is improved.

  The measuring device 14 is configured to perform the measurement of the bright spot movement as described above for each bright spot forming the pattern 11a. That is, the positions of a plurality of bright spots become a plurality of measurement points. The measuring device 14 transmits the bright spot movement measured for each bright spot forming the pattern 11a, that is, the measured bright spot movement amount to the receiving unit 22 as measurement data. That is, the measurement data is the movement amount of the bright spot measured based on the images at two different time points. Here, the movement amount of the bright spot corresponds to the height change amount described above with reference to FIG. This is because, as described above with reference to FIG. 4, the object at each bright spot (measurement point), here, corresponds to the movement of the person 2 in the height direction. The amount of movement of the bright spot at each measurement point forms part of the measurement data received by the receiving unit 22. The measurement device 14 outputs the movement amount of the bright spot at each measurement point as measurement data. Note that the movement of the person 2 in the height direction is, for example, movement accompanying the breathing of the person 2.

  Based on the above concept, the measuring device 14 can measure the height of the object by measuring the moving amount of the bright spot. However, since the movement in the height direction is measured based on the acquired image and the image acquired immediately before the acquired image, that is, the reference image, the amount of change in the movement of the bright spot is observed. For this reason, for example, the absolute height of the person 2 cannot be measured, but there is no problem because the purpose is to detect the movement of the person 2 in the height direction.

  Further, as shown in the schematic diagram of FIG. 7, the measurement of the movement amount of the bright spot by the measuring device 14 is performed for each bright spot on the image. Further, at this time, it is preferable to set a search window having a predetermined area centering on the focused bright spot. Here, a description will be given in the case where the focused bright spot is a bright spot on the reference image (N-1 frame). As shown to (a), let a predetermined area be an area which is a grade which does not enter luminescent spots other than the luminescent spot to notice in a search window, for example. In principle, since the bright spot does not move in the x direction, the search window has a substantially rectangular shape narrow in the x direction.

  Note that the size of the search window may be changed depending on whether the respiratory waveform is obtained or the body motion waveform. In the case of breathing, the inner search window in the figure is used, and in the case of body motion, the outer search window is used. Should be used. The search window for searching for a moving bright spot is, for example, an image having a width of 640 pixels, and a normal search width (a width that is unlikely to be mixed with an adjacent bright spot) is 50 pixels (± 25 pixels), and is found within this range. In this case, the amount of movement is counted as body movement, and the search width for breath detection is set to 7 pixels (± 3.5 pixels). It is also possible to count movement.

  Further, as shown in FIG. 7B, a coordinate axis is set in the search window with the luminescent point of interest at the center and the base line direction dy and the vertical direction of the base line direction dx. The calculation and the moving direction of the bright spot are identified. The movement amount of the bright spot is measured from the coordinates (dx, dy) of the bright spot of the acquired image in the search window.

  In the above description, the height of the person 2 is not calculated. However, the height of the person 2 may be measured based on the movement amount of the bright spot. In this case, a height calculation unit (not shown) that calculates the height of the object, that is, the person 2 by the triangulation method based on the movement amount of the bright spot measured by the measurement device 14 is provided. Furthermore, in this case, the classification unit 23 may determine the type of movement of the person 2 and classify it based on the calculated height.

  Here, the height calculation by the height calculation unit will be described with reference to FIG. Here, as in FIG. 4, it is assumed that the target region is the plane 102 and the target object is the object 103 for easy understanding. Furthermore, for description, the reference image is an image of the pattern 11 a when the object 103 is not present on the plane 102, and the acquired image is described as the pattern 11 a when the object 103 is present on the plane 102. Here, calculating the change in height is also referred to as calculating the height for convenience.

  FIG. 8 is a side view of the relationship between the imaging device 12, the projection device 11, the object 103, and the plane 102 when viewed in the X-axis direction (see FIG. 3). Here, the case where the height of the object 103 is Z1 will be described. The center of the projection device 11 (the center of the pattern light source) and the center of the imaging lens 12a are arranged in parallel to the plane 102 and separated by a distance d, and the imaging surface 15 ′ (imaging device 15) is separated from the imaging lens 12a. ) Is 1 (el) (approximately equal to the focal point of the imaging lens 12a), the distance from the imaging lens 12a to the plane 102 is h, and the height of the point 103a of the object 103 from the plane 102 is Z1. . As a result of placing the object 103 on the plane 102, it is assumed that the point 102a 'on the imaging surface 15' has moved to a point 103a 'separated by δ.

If the point where the line connecting the center of the imaging lens 12a and the point 103a intersects the plane 102 in the figure is 102a ″, the distance D between the point 102a and the point 102a ″ is the triangle 103a′-102a′-12a. If attention is paid to the triangle 102a ″ -102a-12a, D = δ · h / l. If attention is paid to the triangles 12a-11-103a and the triangle 102a ″ -102a-103a, D = (d · Z1) / (H-Z1). When Z1 is obtained from both equations, the following equation is obtained.

Z1 = (h ² · δ) / (d · l + h · δ) (1)

As described above, the height of the object 103 can be calculated.

  Here, it is determined whether the moving amount of the bright spot is one of a noise level, a respiratory level, and a body movement level. Specifically, regarding the handling of the movement amount of each bright spot, it may be determined whether it is a noise level movement, a breathing level movement, or a body movement level movement. Furthermore, if it is less than the noise level, it is not used for the calculation of the sum, and if it is the breathing level, a sign is added to calculate the sum as a breathing motion and take the absolute value to calculate the sum of the body movements. That is, add. If it is a body movement level, the absolute value is taken into the sum of respirations and added to the sum of body movements. By doing so, the amount of processing can be reduced. Note that the determination of the noise level is not particularly performed, and if it is equal to or less than the respiration level, all may be handled as the respiration level. In addition, in the case of bright spot movement at the respiratory level, it may be added only to the calculation of the sum as a respiratory motion, not to the sum of body movements.

  For example, as shown in the schematic diagram of FIG. 9, each level determination is determined as a noise level when the absolute value of the movement amount of the bright spot in the baseline direction calculated by the measurement device 14 is smaller than the first threshold Th1. When it is equal to or higher than the first threshold Th1 and smaller than the second threshold Th2, it is determined to be the respiratory level, and when it is equal to or higher than the second threshold Th2, it is determined to be the body movement level. The first threshold value is smaller than the second threshold value. The first threshold value Th1 and the second threshold value Th2 are persons in a range including the movement amount of the bright spot corresponding to the respiratory amplitude of the person 2 within the range between the first threshold value Th1 and the second threshold value Th2. The amount of movement of the bright spot corresponding to a height change of 2 is preferable.

  Furthermore, the classification unit 23 may detect the respiration rate. The respiration rate can be detected, for example, by performing a data process such as Fourier transform on the temporal change in the total amount of movement of the bright spots whose movement is determined to be respiration.

  Next, the state transition display method will be described with reference to the flowchart of FIG. Note that FIG. 1 is referred to as appropriate for the reference numerals of the constituent elements.

  First, as a measurement process, the measurement device 14 measures the movement of the person in the height direction at a plurality of points based on the movement of the pattern projected onto the person by the projection device 11 and imaged by the imaging device 12 (S100). Then, the measured measurement data is transmitted to the receiving unit 22, and as a receiving step, the receiving unit 22 receives the measurement data indicating the state of the person measured by the measuring device 14 (S102), and classifies the received measurement data. It transmits to the part 23.

  Next, as a classification step, the classification unit 23 determines the person's state by providing a threshold for the measurement data based on the measurement data received from the reception unit 22, and stops the respiratory motion for the determined person's state , Respiratory movement decrease, respiratory movement stability, respiratory movement increase, non-respiratory movement (within 5 seconds), non-respiratory movement (5 to 30 seconds), non-respiratory movement (more than 30 seconds), getting out of bed The data is classified into state categories (S104), and the classification unit 23 transmits the classified state category data to the information generation unit 24.

  Next, as an information generation process, the information generation unit 24 is based on the state category data received from the classification unit 23, and is a stacked bar graph showing the total time each state category lasts every 6 minutes at a rate of 100%. The generated bar graph is generated in chronological order, here, 9 bar graphs every 6 minutes, ie, 90 bar graphs are arranged over time (S106), and the generated display data is displayed on the display 40. Send to.

  As a display process, the display 40 receives display data from the information generation unit 24, and as shown in FIG. 2, a vertical axis indicating the ratio of each state category group in the bar graph in the vertical direction toward the page, The display data composed of the elapsed time in the direction, that is, the horizontal axis indicating the order of each bar graph and the 90 bar graphs arranged in time are displayed as images (S108).

  According to the state transition display method and the monitor device 1 described above, since each state category has a visual connection, it is possible for the observer to easily grasp the state transition continuously and continue for a long time. Even if monitoring is performed, observers will not be confused because it is possible to grasp the state transition roughly.

  The monitor device 1 according to the embodiment of the present invention is not limited to the above-described embodiment, and various modifications can be made within the scope described in the claims. Hereinafter, a modification will be described with reference to FIG.

  The display data may be stored as data that can be displayed as a bar graph, even if it is not actually displayed on the display 40 as a bar graph as described above, and is displayed on a paper sheet by a printer (not shown) connected to the interface 32. Alternatively, it may be printed on a plastic sheet.

  Although the measuring device 14 is configured integrally with the computing device 20, the measuring device 14 may be provided outside the computing device 20 and connected to the computing device 20 via the interface 32. A measuring device other than the measuring device 14, for example, an electroencephalograph, a pulse oximeter, or a thermistor that measures weak electrical activity of the brain may be connected to the computing device 20 via 32. In this case, the measurement data indicating the state of the object includes the current value that can be grasped as an electroencephalogram indicating the state of the brain, the blood oxygen saturation, the voltage value from the thermistor indicating the mouth-nose airflow, the chest movement / abdominal movement / position. A position signal value or the like may be used, and data obtained by combining these may be measured data and transmitted to the receiving unit 22.

  For example, sleep stage determination, sleep start, and arousal determination can be performed from the electroencephalogram measurement data. REM sleep can be determined from an electrooculogram and a phantom electromyogram, and thereby a desired state category, for example, a Wake state, a REM sleep state, a first sleep state, and a second sleep state. It is possible to obtain six types of state categories of the third sleep state and the fourth sleep state and create display data representing the state transition.

  Further, for example, measurement data measured by a plurality of measurement devices, for example, brain wave, mouth-nose airflow, chest movement, abdominal movement, body posture, etc., state category group related to sleep state, state category group related to breathing, state category related to posture The group may be determined and classified, and determination and classification by the classification unit 23 in this case may be appropriately determined so that a desired state category can be obtained.

  In addition, the determination of each state by the classifying unit 23 is that the above-described respiratory movement stop is that the respiratory movement is stopped when the ventilation amount is 20% or less of the normal ventilation amount or the oral and nasal airflow is 20% or less of the normal mouth-nasal airflow. May be determined. The respiratory movement decrease may be determined by the classification unit 23 as a decrease in respiratory movement when the ventilation volume is 50% or less of the normal ventilation volume or the oral and nasal airflow is 50% or less of the normal oronasal airflow. Even if it does not become, it may be determined that respiratory activity is reduced in the case of a decrease in ventilation or nasal airflow accompanied by a decrease in blood oxygen saturation of 3% or 4% or more. The increase in respiratory motion may be determined as an increase in respiratory motion when the ventilation amount becomes twice or more than the normal ventilation amount. For determination of body movement, a threshold value may be obtained from statistical data such as a frequent value during measurement, and the body movement may be determined when the threshold value is exceeded.

  In addition, the state transition display method according to the present invention includes a measurement step (S100) for measuring data indicating the state of an object, for example, as shown in FIG. 11, and determines the state of the object based on the measured data. A classification step (S104) for classifying the determined states of the object into a plurality of predetermined state categories; and stacking the durations of the classified states at regular intervals for each state, An information generation step (S106) for generating data indicating the ratio of duration and generating information in which the generated data is arranged in time series.

  With this configuration, the state of the object is determined and classified based on the measured data, and information indicating the ratio of the duration of the classified state is generated in time series. It is possible to provide a state transition display method that can be easily grasped.

  In addition, the monitor device according to the present invention is, for example, as shown in FIG. 1, receiving unit 22 that receives data indicating the state of an object; and determining the state of the object based on the received data. A classifying unit 23 for classifying the states of the object into a plurality of predetermined state categories; and stacking the durations of the classified states at regular intervals for each state to indicate a ratio of durations of the plurality of predetermined state categories And an information generation unit 24 that generates data and generates information in which the generated data is arranged in time series.

  With this configuration, the state of the object is determined and classified based on the measured data, and information indicating the ratio of the duration of the classified state is generated in time series. It is possible to provide a monitor device that can be easily grasped.

  In the monitoring device according to the present invention, for example, as shown in FIG. 1, a tertiary that measures the movement of the object in the height direction at a plurality of points and transmits data indicating the measured movement to the receiving unit 22. You may comprise so that the former sensor 10 may be provided.

  In the monitor device according to the present invention, for example, as shown in FIG. 1, the three-dimensional sensor 10 includes a projection device 11 that projects pattern light onto the target region; and imaging that captures the target region onto which the pattern light is projected. You may comprise so that it may have the apparatus 12; and the measurement means 14 which measures the movement of the pattern on the imaged image.

DESCRIPTION OF SYMBOLS 1 Monitor apparatus 2 Person 3 Bed 10 FG sensor 11 Projector 12 Imaging device 14 Measuring apparatus 22 Receiving part 23 Classification part 24 Information generation part 32 Interface 33 External apparatus 40 Display

Claims (8)

A receiving unit for receiving data which is a measurement value of a change amount in a height direction at a plurality of different points on the object;
The received data change amount is given a positive or negative sign corresponding to the change direction, and a first sum that is a signed sum of the change amounts of the plurality of different points is taken, and Take the second sum, which is the sum of the absolute values or the sum of the squares of the changes of the different points,
Determining whether the state of the object is due to respiratory motion or body motion based on the value of the first sum or the value of the second sum,
If the determined state of the object is due to the respiratory motion, the time waveform of the first sum value is divided into sections corresponding to the period of the waveform, and the first sum value in the section is divided. Further classify the determined state of the object into a plurality of predetermined state categories based on the time integral value of
When the determined state of the object is due to the body movement, the determined state of the object is further determined based on a length of time for which the value of the second sum is equal to or greater than a predetermined threshold. A classifying unit for classifying into a plurality of predetermined state categories;
Monitor device. A receiving unit for receiving data which is a measurement value of a change amount in a height direction at a plurality of different points on the object;
The received data change amount is given a positive or negative sign corresponding to the change direction, and a first sum that is a signed sum of the change amounts of the plurality of different points is taken, and Take the second sum, which is the sum of the absolute values or the sum of the squares of the changes of the different points,
Based on the value of the first sum or the second sum, it is determined whether the state of the object is due to respiratory movement or body movement, and the state of the determined object is due to the respiratory movement. The first total value is further classified into a predetermined state category based on a predetermined threshold of 1 or 2 or more,
If the determined state of the object is due to the body movement, the determined state of the object is further determined based on a time length at which the value of the second sum is equal to or greater than a predetermined threshold. A classification unit for classifying into the state categories;
Monitor device. A receiving unit for receiving data which is a measurement value of a change amount in a height direction at a plurality of different points on the object;
For the amount of change in the received data, take a first sum that is a positive or negative sign corresponding to the direction of change and that is the sum of the amounts of change at the plurality of different points.
Determining whether the state of the object is due to respiratory movement or body movement based on the value of the first sum;
If the determined state of the object is due to the respiratory motion, the time waveform of the first sum value is divided into sections corresponding to the period of the waveform, and the first sum value in the section is divided. Based on the time integral value of
If the determined state of the object is due to the body movement, the determined state of the object is further determined based on a time length at which the value of the first sum is equal to or greater than a predetermined threshold value. A classification unit for classifying into the state categories;
Monitor device. The durations of the classified respiratory motion and body motion states are accumulated at regular intervals for each state to generate data indicating a ratio of the duration of the predetermined state category, and the generated data is time-series An information generation unit for generating information arranged in
The monitor device according to claim 1. A three-dimensional sensor that measures the movement of the object in the height direction at a plurality of points and transmits data indicating the measured movement to the receiver;
The monitor device according to claim 4. The three-dimensional sensor includes a projection device that projects pattern light onto a target region;
An imaging device for imaging a target area onto which the pattern light is projected;
Measuring means for measuring movement of a pattern on the imaged image;
The monitor device according to claim 5. A measuring step for measuring the change in height at a plurality of different points on the object;
For the amount of change measured at the plurality of different points, take a first sum that is a sum of the amount of change at the plurality of different points with a positive or negative sign corresponding to the change direction, And taking a second sum that is a sum of absolute values or sums of squares of the change amounts of the plurality of different points, and based on the value of the first sum or the value of the second sum, Determine if the condition is due to respiratory movement or body movement,
If the determined state of the object is due to the respiratory motion, the time waveform of the first sum value is divided into sections corresponding to the period of the waveform, and the first sum value in the section is divided. Further classify the determined state of the object into a plurality of predetermined state categories based on the time integral value of
When the determined state of the object is due to the body movement, the determined state of the object is further determined based on a length of time for which the value of the second sum is equal to or greater than a predetermined threshold. A classification process for classifying into a plurality of predetermined state categories;
The durations of the classified respiratory motion and body motion states are accumulated at regular intervals for each state to generate data indicating a ratio of the duration of the predetermined state category, and the generated data is time-series An information generation step of generating information arranged in
State transition display method. A measuring step for measuring the change in height at a plurality of different points on the object;
For the amount of change measured at the plurality of different points, take a first sum that is a sum of the amount of change at the plurality of different points with a positive or negative sign corresponding to the change direction, And taking a second sum that is a sum of absolute values or sums of squares of the change amounts of the plurality of different points, and based on the value of the first sum or the value of the second sum, Determine if the condition is due to respiratory movement or body movement,
If the determined state of the object is due to the respiratory motion, a plurality of states of the determined object are further determined based on one or more thresholds in which the value of the first sum is determined in advance. Categorized into predetermined state categories,
When the determined state of the object is due to the body movement, the determined state of the object is further determined based on a length of time for which the value of the second sum is equal to or greater than a predetermined threshold. A classification process for classifying into a plurality of predetermined state categories;
The durations of the classified respiratory motion and body motion states are accumulated at regular intervals for each state to generate data indicating a ratio of durations of the plurality of predetermined state categories, and the generated data is An information generation step of generating information arranged in time series;
State transition display method.

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