Patent Publication Number: US-2019183413-A1

Title: Terminal device, output method and computer program

Description:
TECHNICAL FIELD 
     The present invention relates to a technique to output a biological signal or biological information. 
     This application claims priority based on Japanese Patent Application No. 2016-227223 filed in Japan on Nov. 22, 2016, the contents of which are incorporated herein by reference. 
     BACKGROUND ART 
     There are provided devices for acquiring biological information (such as a heart rate and a breathing rate) of a patient. Examples of such devices include: a wearable device for a patient to wear to measure a heart rate and a breathing rate; and a non-wearable device for measuring a heart rate and a breathing rate based on vibrations. Such biological information is sometimes required to have accuracy with a predetermined reference value or more. For this reason, in order to improve accuracy, there is provided a technique of removing noise from measurement data and acquiring biological information from remaining measurement data after the noise removal (see PTL 1). 
     CITATION LIST 
     Patent Literature 
     PTL 1: Japanese Patent Application Publication No. 2011-206285 
     SUMMARY OF INVENTION 
     Technical Problem 
     Measurement data before noise removal is extremely vast, and accurate biological information after the noise removal still has an extremely large amount of information. Thus, it requires great work to select information to be recorded out of biological information acquired from a patient. A biological signal (a signal acquired by a biological sensor) being an original data of biological information also has a common problem. 
     The present invention has been made in view of the above circumstances and aims to provide a technique which makes it possible to easily select, from a biological signal or biological information acquired from a patient, a biological signal or biological information more suitable for recording. 
     Solution to Problem 
     (1) A terminal device according to an aspect of the present invention includes: a biological signal acquisition unit configured to acquire a biological signal of a patient; a biological information acquisition unit configured to acquire biological information of the patient based on the acquired biological signal; a determining unit configured to determine whether or not the biological information of the patient is accurate in a time section in which the biological signal is measured; and a controller configured to change handling of the biological signal or the biological information in accordance with a determination result of the determining unit. 
     (2) In the terminal device of (1) above, the controller may include a display controller configured to display, when displaying the biological signal or the biological information on a display, the biological signal or the biological information irrespective of the determination result. 
     (3) In the terminal device of (1) or (2) above, the controller may include a data output controller configured to output data on the biological signal or the biological information determined to be accurate by the determining unit. 
     (4) In the terminal device of (2) above, the display controller may display the biological signal or the biological information in different ways depending on whether or not the biological signal or the biological information is determined to be accurate by the determining unit. 
     (5) An output method according to an aspect of the present invention includes: a biological signal acquisition step for acquiring a biological signal of a patient; a biological information acquisition step for acquiring biological information of the patient based on the acquired biological signal; a determination step for determining whether or not the biological information of the patient is accurate in a time section in which the biological signal is measured; and a control step for changing handling of the biological signal or the biological information in accordance with a determination result in the determination step. 
     (6) A computer program according to an aspect of the present invention causes a computer to function as a terminal device including: a biological signal acquisition unit configured to acquire a biological signal of a patient; a biological information acquisition unit configured to acquire biological information of the patient based on the acquired biological signal; a determining unit configured to determine whether or not the biological information of the patient is accurate in a time section in which the biological signal is measured; and a controller configured to change handling of the biological signal or the biological information in accordance with a determination result of the determining unit. 
     Advantageous Effects of Invention 
     According to the embodiments of the present invention described above, it is possible to easily select, from a biological signal or biological information acquired from a patient, a biological signal or biological information more suitable for recording. 
    
    
     
       BRIEF DESCRIPTION OF DRAWINGS 
         FIG. 1  is a diagram illustrating an example of a system configuration of a state display system  100  according to an embodiment of the present invention. 
         FIG. 2  is a diagram illustrating an example of the system configuration of a measuring system  1 . 
         FIG. 3  is a schematic block diagram illustrating a functional configuration example of a terminal device  20 . 
         FIG. 4  is a diagram illustrating a display example of a display  24 . 
         FIG. 5A  is a flowchart illustrating an operation example of the terminal device  20  at the time of recording biological information data. 
         FIG. 5B  is another flowchart illustrating an operation example of the terminal device  20  at the time of recording biological information data. 
         FIG. 6  is a flowchart illustrating an operation example of the terminal device  20  at the time of recording recording candidate identification information. 
         FIG. 7  is a flowchart illustrating an operation example of the terminal device  20  at the time of display or data output. 
     
    
    
     DESCRIPTION OF EMBODIMENTS 
     First, the entire system in this embodiment will be described.  FIG. 1  is a diagram for explaining the entire state display system  100 . A person to be measured (hereinafter referred to as a “patient”) P is laid on a mattress  32  placed on a bed  30 . The bed  30  is provided with a detector  10 . The detector  10  is connected to a user interface device  40 . 
     The user interface device  40  is connected to the detector  10 , connected to a measuring device  60  (e.g. devices such as a thermometer and a sphygmomanometer), and connected to other server devices etc. via a network. Besides, authentication processing (login processing) can be done by placing an ID card  65  over the user interface device  40 . 
     For example, the terminal device  20 , a server  70 , an electronic medical record server  80 , a master station device  90 , and a terminal device  95  are connected to the network. The server  70  is a server that provides various services, and may be connected to a LAN inside a facility such as a hospital or may be provided outside via the Internet. The electronic medical record server  80  is a server that stores electronic medical record information on the patient P. The electronic medical record server  80  may be provided in an outside cloud server. 
     The master station device  90  is disposed in an area (area inside the facility) such as a nurses&#39; station. By using the master station device  90 , it is possible to know the state of the user interface device  40  at a location away from the user interface device  40 . The terminal device  95  can be connected to a LAN by wireless communication, for example, so that employees such as nurses and care staffs can easily check the information of the user interface device  40 . 
       FIG. 2  is a diagram illustrating an example of the system configuration of a measuring system  1 . The measuring system  1  may be configured as a part of the state display system  100 . The measuring system  1  is configured to measure biological information on the patient P. The measuring system  1  includes the detector  10  and the terminal device  20 . 
     The detector  10  is a device configured to acquire a biological signal of the patient P. The detector  10  has a pressure sensor for detecting the body motion of the patient P. The detector  10  outputs a signal representing the body motion that is detected by the pressure sensor. In other words, in this embodiment, the detector  10  outputs the signal representing the body motion (body motion signal) as a biological signal. 
     By using the biological signal output from the detector  10 , various kinds of biological information on the patient P can be acquired. For example, information on the laid-down state of the patient P can be acquired based on the biological signal. The information on the laid-down state indicates whether the patient P is laid down or not. The information on the laid-down state may further indicate whether the patient is on the bed or not, whether the patient is away from the bed or not, and whether the patient is sitting on the bed side or not. Based on the biological signal, it is also possible to acquire information on whether the patient P is sleeping or awake. 
     The detector  10  is provided to the bed  30 . For example, the detector  10  may be disposed between sections  31  and the mattress  32  that constitute the bed  30 . The detector  10  is formed in the shape of a thin sheet. This makes it possible to perform measurement without letting the patient P feel a sense of discomfort even when the detector  10  is placed between the sections  31  and the mattress  32 . 
     Once the patient P gets on the mattress  32 , the detector  10  detects a body motion (vibration) as a biological signal of the patient P. The detector  10  outputs the biological signal thus detected. The patient P may be a sick person who is under medical treatment or may be a person who needs nursing care. The patient P may be a healthy person who needs no nursing care. The patient P may be an elderly person or may be a child. The patient P may be a disabled person. The patient P does not necessarily have to be a human and may be an animal other than a human. 
     The terminal device  20  is constituted of an information processor. The terminal device  20  includes a CPU (Central Processing Unit), a memory, and an auxiliary memory device that are connected to each other via a bus. The terminal device  20  operates by executing a program. The terminal device  20  performs processing based on the biological signal acquired by the detector  10 . Hereinbelow, the detailed configuration of the terminal device  20  will be described. 
       FIG. 3  is a schematic block diagram illustrating a functional configuration example of the terminal device  20 . The terminal device  20  includes: an input unit  21 ; an output unit  22 ; a user interface device  23 ; a display  24 ; a memory  25 ; and a controller  26 . 
     The input unit  21  accepts data on biological signals input to the terminal device  20  (hereinafter referred to as the “biological signal data”). The input unit  21  may retrieve biological signal data recorded in a recording medium such as a CD-ROM or a USB memory (Universal Serial Bus Memory). In this case, in the recording medium, biological signal data which is time-series data on biological signals detected by the detector  10  is recorded. The input unit  21  may receive biological signal data from the detector  10  by wired or wireless communication. The input unit  21  may have any configuration as long as it can receive input of biological signal data acquired by the detector  10 . 
     The output unit  22  outputs data from the terminal device  20  in such a way that the data is readable by other devices. The output unit  22  may output data by recording data in a recording medium such as a CD-ROM or a USB memory. The output unit  22  may output data by sending data to other devices by wired or wireless communication. The output unit  22  may have any configuration as long as it can output data from the terminal device  20  to other devices. 
     The user interface device  23  is configured using existing input devices such as a keyboard, a pointing device (e.g. mouse, tablet), a button, and a touch panel. The user interface device  23  is manipulated by a user when the user inputs his/her command to the terminal device  20 . The user interface device  23  may be an interface for connecting the input devices to the terminal device  20 . In this case, the user interface device  23  inputs, to the terminal device  20 , an input signal generated in each input device in response to input from the user. The user interface device  23  may be configured as an integrated touch panel with the display  24 . 
     The display  24  is an image display device such as a CRT (Cathode Ray Tube) display, a liquid crystal display, and an organic EL (Electro Luminescence) display. The display  24  is configured to display images and characters thereon. The display  24  may be an interface for connecting an image display device to the terminal device  20 . In this case, the display generates an image signal for displaying images and characters, and outputs the image signal to the image display device connected thereto. 
     The memory  25  is configured using a storage device such as a magnetic hard disk device and a semiconductor storage device. The memory  25  functions as a biological signal data memory  251 , a biological information data memory  252 , and a recording candidate identification information memory  253 . 
     The biological signal data memory  251  is configured to store biological signal data acquired by the controller  26 . 
     The biological information data memory  252  is configured to store biological information data acquired by the controller  26 . 
     The recording candidate identification information memory  253  is configured to store identification information, indicating whether data is a candidate for recording or not, which is determined by the controller  26  (such information is hereinafter referred to as “recording candidate identification information”). 
     The controller  26  is configured using a CPU. By executing programs, the controller  26  functions as an acquisition unit  261 , an acquisition unit  262 , a determining unit  263 , a display controller  264 , and a data output controller  265 . 
     The acquisition unit  261  is configured to acquire biological signal data input via the input unit  21 . The acquisition unit  261  records the acquired biological signal data in the biological signal data memory  251 . 
     The acquisition unit  262  is configured to acquire biological information data based on the biological signal data stored in the biological signal data memory  251 . The biological information data is time-series data on biological information. For example, the acquisition unit  262  acquires the breathing rate and heart rate of the patient P as biological information. The acquisition unit  262  may acquire biological information in any way. For example, the acquisition unit  262  may extract a breathing component and a heartbeat component from a biological signal and acquire a breathing rate and a heart rate based on a breathing interval and a heartbeat interval. For example, the acquisition unit  262  may analyze (e.g. the Fourier transform) the periodicity of body motion (a body motion signal which is also a biological signal in this embodiment) and calculate a breathing rate and a heart rate from a peak frequency. The acquisition unit  262  records the acquired biological information data in the biological information data memory  252 . 
     The determining unit  263  is configured to determine data which satisfies a recording candidate condition, on the basis of the biological signal data (which is also body motion signal data in this embodiment) recorded in the biological signal data memory  251  or the biological information data recorded in the biological information data memory  252 . The recording candidate condition is a condition indicating that data in question is information preferably recorded as predetermined information (such as an electronic medical record). In other words, the recording candidate condition is a condition indicating whether the biological information is accurate or not, and data that is determined by the determining unit  263  to satisfy the recording candidate condition is data that is determined by the determining unit  263  to be accurate. More specifically, the recording candidate condition is a condition indicating that, among the biological signal data or the biological information data, data is biological signal data or biological information data that indicates the body condition of the patient P accurately based on predetermined criteria. For example, the recording candidate condition may be the fact that variation of values (e.g. biological signal data or biological information data) over a predetermined time period or more is smaller than a predetermined threshold. For example, the recording candidate condition may be the fact that data is one within a time section in which the patient P is presumed to be sleeping (such a time section is hereinafter referred to as the “sleep time section”). For example, the recording candidate condition may be the fact that data is one (e.g. biological signal data or biological information data) recorded within a predetermined time period before present and that data has values (e.g. biological signal data or biological information data) whose variation over a predetermined time period or more is smaller than a predetermined threshold. For example, the recording candidate condition may be the fact that a proportion of a time period, in which biological signal data or biological information data is successfully acquired normally, to a certain time period exceeds a predetermined threshold. For example, the recording candidate condition may be the fact that the average value or medium value of values (e.g. biological signal data or biological information data) acquired in a certain time period is successively obtained. In this case, the average value or medium value thus obtained may be recorded. Here, at the time of calculating the average value or medium value, it is possible not to use a value with a large deviation. The multiple specific examples of the condition described above may be joined by AND conditions and used as the recording candidate condition. 
     A specific example of processing performed by the determining unit  263  will be described. For example, the determining unit  263  retrieves biological signal data of a predetermined time width (hereinafter referred to as the “unit time section”) from the biological signal data recorded in the biological signal data memory  251 . For example, the unit time section may be 0.1 seconds, may be 1 second, may be 5 seconds, may be 1 minute, or may be another value. The determining unit  263  determines whether the biological signal data in the unit time section satisfies the recording candidate condition or not, i.e., whether the biological signal data in the unit time section is accurate or not. The determining unit  263  records, in the recording candidate identification information memory  253 , recording candidate identification information indicating a determination result in each unit time section. In each unit time section, the recording candidate identification information indicates whether data in this time section satisfies the recording candidate condition or not. 
     In each unit time section, whether data in this time section satisfies the recording candidate condition or not may be determined based on whether this time section is the sleep time section or not. Here, when the fact that data is one in the sleep time section is the recording candidate condition, any technique may be employed as a technique for the determining unit  263  to determine whether the biological signal data is one in the sleep time section or not. For example, the determining unit  263  may calculate the number of vibrations of the body motion signal (which is also the biological signal in this embodiment) in the unit time section (e.g. the number of vertical oscillations of the body motion signal (biological signal) with a predetermined magnitude or larger) and determine that the data is in the sleep time section when the number of oscillations falls below a threshold. For example, the determining unit  263  may determine that the data is in the sleep time section when an accumulated value (e.g. integrated value) of variations in the signal (body motion signal, biological signal) in the unit time section falls below a threshold. 
     The display controller  264  is configured to control display on the display  24 . When displaying the biological signal on the display  24 , the display controller  264  displays the biological signal irrespective of the determination result of the determining unit  263 . The display controller  264  displays the biological signal satisfying the recording candidate condition in a different way from the biological signal not satisfying the recording candidate condition. For example, the type (e.g. solid line, dotted line, broken line, dashed dotted line, dashed-two dotted line) of a line representing the signal may be different. For example, the thickness or color of a line representing the signal may be different. For example, the background color of a line representing the signal may be different. For example, identifiable characters such as “recording candidate” may be displayed in a time section in which the biological signal satisfying the recording candidate condition is recorded. Besides those, the biological signal satisfying the recording candidate condition may be displayed in any way as long as the biological signal satisfying the recording candidate condition and the biological signal not satisfying the recording candidate condition are distinguishable from each other. 
     When displaying the biological information on the display  24 , the display controller  264  also displays the biological information irrespective of whether this is the biological information satisfying the recording candidate condition or not. The display controller  264  displays the biological information satisfying the recording candidate condition in a different way from the biological information not satisfying the recording candidate condition. For example, different images (pictograms) may be displayed depending on whether the biological information satisfies the recording candidate condition or not. For example, the font, thickness, or color of a character to be used may be different. For example, the color of a frame where the biological information is displayed or the background color of the biological information may be different. Besides those, the biological information satisfying the recording candidate condition may be displayed in any way as long as the biological information satisfying the recording candidate condition and the biological information not satisfying the recording candidate condition are distinguishable from each other. 
     The data output controller  265  is configured to control data output via the output unit  22 . In the case of outputting biological signal data, the data output controller  265  outputs the biological signal data satisfying the recording candidate condition. In the case of outputting biological information data, the data output controller  265  outputs the biological information data satisfying the recording candidate condition. 
     The display controller  264  and the data output controller  265  are a specific example of the controller of the present invention. The controller  26  changes the handling of the biological signal or the biological information according to the determination result of the determining unit  263 . 
       FIG. 4  is a diagram illustrating a display example of the display  24 . In the example of  FIG. 4 , a time-series waveform of a biological signal detected by the detector  10  during a time period between 21 h  3 m  25 s  and 21 h  4 m  25 s  is displayed.  FIG. 4  illustrates the result of determination performed with a unit time section set at 1 second. In the time section of the time axis during which the biological signal is displayed, a time section between 21 h  4 m  10 s  and 21 h  4 m  25 s  is displayed as the recording candidate. Specifically, a rectangle  71  that includes characters indicating the recording candidate and extends along the time axis is displayed over the time section where the data satisfying the recording candidate condition is recorded. In addition, in  FIG. 4 , a bar  72  indicating the amount of activity of the patient P that is obtained based on the body motion signal (which is also the biological signal in this embodiment) is displayed for every unit time section over an awakening time section. The awakening time section is a time section during which a large body motion occurs. In other words, the awakening time section is a time section during which the amount of activity of the patient P is so large that the patient P is presumed to be awake. 
     In this embodiment, the amount of activity of the patient P indicated by the bar  72  is obtained based on the body motion signal as described above. For example, the amount of activity is obtained based on information such as a body motion signal, biological information on breathing and heartbeat, and body motion information obtained by excluding the influence of breathing and heartbeat from the body motion signal. The body motion information is associated with a substantial body motion not including a body motion caused by breathing and a body motion caused by heartbeat. Examples of such a substantial body motion include roll-over in the bed (including unconscious roll-over while one is sleeping and conscious roll-over while one is awake). 
     The amount of activity depends largely on the amount of substantial body motion. In ranges where no bar  72  is illustrated (e.g. 21 h  3 m  42 s  or earlier and 21 h  4 m  2 s  or later) in  FIG. 4 , a substantial body motion is so little that no amount of activity is detected. In these ranges, the waveform indicating the biological signal (which is also the body motion signal in this embodiment) in  FIG. 4  is stable, and thus it can be presumed that the patient P is sleeping (in a state of little substantial body motion), for example. On the other hand, in a range where the bar  72  is illustrated (e.g. 21 h  3 m  43 s  to 21 h  4 m  1 s ) in  FIG. 4 , a substantial body motion occurs and a large amount of activity is detected. In this range, the waveform indicating the biological signal (which is also the body motion signal in this embodiment) in  FIG. 4  is unstable, and thus it can be presumed that the patient P is awake (in a state of large substantial body motion), for example. 
     As described above, whether data is in the sleep time section or not (whether data is in the sleep time section or in the awakening time section) can be determined based on the amount of activity, for example, and this amount of activity can be obtained based on the body motion (body motion signal) of the patient P. Accordingly, when determination as to whether specific data is satisfied with the recording candidate condition is performed based on whether the data is in the sleep time section or not, the controller  26  can perform the judgment on the recording candidate condition based on the body motion signal. 
     Note that, in this embodiment, since the controller  26  acquires the body motion signal as the biological signal, the above judgment can be performed based on the biological signal. However, if a signal different from the body motion signal is acquired as the biological signal as will be described later, it is also possible to acquire a body motion signal in addition to the biological signal for the purpose of performing the above judgment. In this case, the detector can have a configuration including: a first detector configured to detect a body motion signal like the detector  10  of this embodiment; and a second detector different from the first detector and configured to detect a biological signal. Devices such as a wearable computer and various sensor devices can be used as the second detector, for example. 
       FIG. 5A  is a flowchart illustrating an operation example of the terminal device  20  at the time of recording biological information data. The acquisition unit  261  acquires biological signal data, which is also body motion signal data in this embodiment, via the input unit  21  (Step S 001 ). The acquisition unit  261  records the acquired body motion signal data (which is also the biological signal data in this embodiment as described above) in the biological signal data memory  251  (Step S 002 ). The acquisition unit  262  acquires biological information data based on the biological signal data recorded in the biological signal data memory  251  (Step S 003 ). The acquisition unit  262  records the acquired biological information data in the biological information data memory  252  (Step S 004 ). 
     Note that, in this embodiment, the body motion signal is acquired as the biological signal. Thus, the controller  26  can acquire data on body motion information (body motion information data) and the amount of activity based on the acquired biological signal data and biological information data. In addition, as illustrated in  FIG. 5B , the biological signal data can be acquired by acquiring the body motion signal data in Step S 001 , and the biological signal data can be recorded by recording the body motion signal data in Step S 002 . In other words, both the biological signal data and the body motion signal data are acquired in Step S 001  and both the biological signal data and the body motion signal data are recorded in Step S 002 . 
     Here, when a signal different from the body motion signal is acquired as the biological signal, the biological signal data and the body motion signal data have neither to be acquired at the same timing nor to be recorded at the same timing. For example, the body motion signal data may be acquired and recorded after the biological signal data is acquired and recorded. Instead, the biological signal data may be acquired and recorded after the body motion signal data is acquired and recorded. Here, the acquisition and recording of the biological signal data and the acquisition and recording of the body motion signal data may be synchronized with each other. 
       FIG. 6  is a flowchart illustrating an operation example of the terminal device  20  at the time of recording recording candidate identification information. The determining unit  263  acquires biological signal data in a unit time section (Step S 101 ). The determining unit  263  executes determination processing on the biological signal data in the unit time section thus acquired (Step S 102 ). In other words, the determining unit  263  determines whether or not the biological signal data in the unit time section thus acquired is satisfied with the recording candidate condition. In this event, in this embodiment, the determination can be performed based on the body motion signal data (biological signal data) recorded in Step S 002 . If it is determined that the data is satisfied with the recording candidate condition (Step S 102 —YES), the determining unit  263  records the unit time section, which is being processed, as the recording candidate (Step S 103 ). For example, the determining unit  263  records recording candidate identification information indicating that the unit time section being processed is a recording candidate. On the other hand, if it is determined that the data is not satisfied with the recording candidate condition (Step S 102 —NO), the determining unit  263  records the unit time section, which is being processed, as a non-recording candidate (information which is not a recording candidate) (Step S 104 ). For example, the determining unit  263  records identification information indicating that the unit time section being processed is not a recording candidate. If it is determined that the determining unit  263  has not completed the above processing on all the time sections of the biological signal data to be processed (Step S 105 —NO), the determining unit  263  again acquires biological signal data in another unit time section. If it is determined that the determining unit  263  has completed the above processing on all the time sections (Step S 105 —YES), the processing illustrated in  FIG. 6  terminates. In this way, it is determined whether the biological signal data to be processed is a recording candidate or not. 
       FIG. 7  is a flowchart illustrating an operation example of the terminal device  20  at the time of display or data output. If a display command is input via the user interface device  23  (Step S 201 —YES), the display controller  264  displays on the display  24  biological signal data in a time section specified by manipulation, irrespective of the determination result of the determining unit  263  (Step S 202 ). If no display command is input via the user interface device  23  (Step S 201 —NO), the process moves to determination processing in Step S 203  without executing the processing in Step S 202 . If a data output command is input via the user interface device  23  (Step S 203 —YES), the data output controller  265  outputs the biological signal data, which satisfies the recording candidate condition, via the output unit  22  (Step S 204 ). These processes are not limited to the biological signal data, and the display or data output of biological information data is performed in the same manner. If no data output command is input via the user interface device  23  (Step S 203 —NO), the processing in  FIG. 7  terminates without executing the processing in Step S 204 . 
     In the measuring system  1  having the above configuration, among the biological signal or biological information acquired from the patient, the biological signal or biological information satisfying the recording candidate condition is displayed in a different way from the biological signal or biological information not satisfying the recording candidate condition. In addition, if output to another device is directed instead of display, only the biological signal or biological information satisfying the recording candidate condition is output. This makes it possible to easily select a biological signal or biological information more suitable for recording among the biological signal or biological information acquired from the patient. 
     As one criterion as to whether data is satisfied with the recording candidate condition or not, the determination may be performed based on whether the data is in the sleep time section or not, as described above. The details are as follows. Note that, in this embodiment, each of display and data output is a mode of output. 
     While one is sleeping, a signal acquired by body motion normally has small fluctuations. Accordingly, a signal in the sleep time section is assumed to have high accuracy. Specifically, in this embodiment, the controller  26  acquires the body motion signal as the biological signal. While the patient P is sleeping, the substantial body motion of the patient is normally small. Thus, the body motion signal acquired while the patient P is sleeping is largely influenced by a body motion based on the breathing and heartbeat of the patient (periodical fluctuations (vibrations) of load) and has small fluctuations. Accordingly, it is assumed that the body motion signal correlates strongly with the biological information in the sleep time section, that is, the body motion signal data in the sleep time section is highly reliable from the perspective of obtaining biological information and thus accurate biological information can be obtained from the biological signal (body motion signal) in the sleep time section. In other words, in the section (e.g. the range where no bar  72  is illustrated in  FIG. 4 ) where the body motion and the amount of activity are determined to be small based on the body motion signal, it is assumed that biological signal data is highly reliable and biological information can be obtained from the biological signal accurately. 
     On the other hand, while one is awake, a signal acquired by body motion normally has large fluctuations. Accordingly, a signal in the awakening time section is assumed to have low accuracy. Specifically, while one is awake, a substantial body motion is normally larger than while one is sleeping. Thus, the body motion signal acquired while the patient P is awake is largely influenced by the substantial body motion of the patient and has large fluctuations. Accordingly, it is assumed that the body motion signal correlates weekly with the biological information in the awakening time section, that is, the body motion signal data in the awakening time section is less reliable from the perspective of obtaining biological information and thus accurate biological information is hard to obtain from the biological signal (body motion signal) in the awakening time section. In other words, in the section (e.g. the range where the bar  72  is illustrated in  FIG. 4 ) where the body motion and the amount of activity are determined to be large based on the body motion signal, it is assumed that biological signal data is less reliable and accurate biological information is hard to obtain from the biological signal. Note that, in a less reliable time section, it is also possible to supplement data by receiving biological information from another (wearable) device. 
     For this reason, whether one is sleeping or not may be used as the recording candidate condition. Here, if it is assumed that, even when one is sleeping (in the sleep time section), the signal has lower accuracy (reliability) immediately after one falls asleep or immediately before one awakes than other time points during sleep, biological signal data and biological information data immediately after one falls asleep or immediately before one awakes may be set as non-recording candidates instead of recording candidates. 
     In this embodiment, when biological signal data or biological information data (hereinafter collectively referred to as “data”) is output for the purpose of analyzing it in another information processor, the data output controller  265  outputs only data satisfying the recording candidate condition. With such a configuration, it is possible to more accurately analyze data acquired by the terminal device  20 . 
     On the other hand, when displaying data on the display  24 , the display controller  264  displays not only the data satisfying the recording candidate condition but also the data not satisfying the recording candidate condition. Thereby, the user who references the data displayed on the display can reference successive data instead of data which is intermittent in the time axis. This makes it possible to determine a change in the biological signal or biological information more suitably. 
     In addition, when displaying data on the display  24 , the display controller  264  displays the data satisfying the recording candidate condition and the data not satisfying the recording candidate condition in different ways. Thereby, the user who references the data displayed on the display  24  can reference successive data while knowing which time section&#39;s data is likely to be highly accurate and which time section&#39;s data is likely to be less accurate. This enables the user to determine a change in the biological signal or biological information more suitably. 
     Modified Example 
     The detector  10  may have any configuration as long as it can acquire the biological signal of the patient P. In other words, a pressure sensor does not necessarily have to be used in the detector  10 . For example, a load sensor may be used in the detector  10 . In addition, the biological signal acquired by the detector  10  does not necessarily have to be a signal based on body motion (body motion signal). Specific examples of the biological signal include a signal base on breathing movement and a signal based on ballistocardiographic movement. For example, the biological signal may be acquired using an infrared sensor. For example, the biological signal may be acquired using an actuator with strain gauge. For example, the biological signal may be acquired using a microphone. 
     The determining unit  263  may determine whether data is satisfied with the recording candidate condition based on biological information acquired by another device instead of biological information based on the biological signal acquired by the detector  10 . 
     When directed via the user interface device  23  not to display the biological signal and biological information not satisfying the recording candidate condition, the display controller  264  may be configured to display the biological signal or biological information satisfying the recording candidate condition and not to display the biological signal and biological information not satisfying the recording candidate condition. 
     When showing the current biological information of the patient P on the display  24 , the display controller  264  may create a display screen based on biological information obtained at the time closest to the current time among the biological information satisfying the recording candidate condition. In this case, even if there is biological information, not satisfying the recording candidate condition, obtained at the time closer to the current time, the display controller creates a display screen based on not this biological information but the biological information satisfying the recording candidate condition. With such a configuration, it is possible to provide the user with more accurate information. 
     A part of or all of the function parts included in the terminal device  20  may be provided in the detector  10 . 
     The function parts included in the terminal device  20  may be mounted in multiple devices. 
     All of or a part of the functions included in the terminal device  20  described above may be implemented using hardware such as an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA (Field Programmable Gate Array). The programs executed by the terminal device  20  described above may be recorded in a computer-readable recording medium. The computer-readable recording medium is a storage device including: a portable medium such as a flexible disk, a magnetic optical disk, a ROM, and a CD-ROM; and hard disk embedded in a computer system. Each program may be transmitted via an electrical communication line. 
     Hereinabove, a preferred embodiment of the present invention has been described; however, the present invention is not limited to these embodiment and modified example. Addition, omission, replacement, and other changes of the configuration can be made without departing from the gist of the present invention. 
     In addition, the present invention is not limited by the aforementioned description and limited only by the appended scope of claims. 
     INDUSTRIAL APPLICABILITY 
     According to the above embodiment, it is possible to easily select, from a biological signal or biological information acquired from a patient, a biological signal or biological information more suitable for recording. 
     REFERENCE SIGNS LIST 
     
         
           1 : measuring system 
           10 : detector 
           20 : terminal device 
           21 : input unit 
           22 : output unit 
           23 : user interface device 
           24 : display 
           25 : memory 
           251 : biological signal data memory 
           252 : biological information data memory 
           253 : recording candidate identification information memory 
           26 : controller 
           261 : acquisition unit 
           262 : acquisition unit 
           263 : determining unit 
           264 : display controller 
           265 : data output controller 
           30 : bed 
           31 : sections 
           32 : mattress 
         P: patient 
           40 : user interface device 
           60 : measuring device 
           65 : ID card 
           70 : server 
           80 : electronic medical record server 
           90 : master station device 
           95 : terminal device.