JP2019017499A - Recuperation support system - Google Patents

Abstract

To provide a recuperation support system capable of providing batter service.SOLUTION: A recuperation support system includes a biological sensor for detecting a biological state of an object person, and a voice sensor for detecting a voice of the object person. The recuperation support system provides output information including at least one of visual information and auditory information that vary according to an emotional state of the object person estimated based on at least one of the biological state and the voice.SELECTED DRAWING: Figure 1

Description

  Embodiments described herein relate generally to a medical treatment support system.

  A care recipient such as an elderly person takes care at a home, a hospital, or a care facility. In medical treatment, there is a demand for a medical treatment support system that can provide better services to care recipients, families, medical workers, and nursing staff.

JP 2002-41671 A

  Embodiment of this invention provides the medical treatment support system which can provide a better service.

  According to the embodiment, the medical treatment support system includes a biological sensor that detects a biological state of the subject and a sound sensor that detects the voice of the subject. The medical treatment support system provides output information including at least one of visual information and auditory information that changes according to the emotional state of the subject estimated based on at least one of the biological state and the voice. .

  Embodiment of this invention can provide the medical treatment support system which can provide a better service.

FIG. 1A to FIG. 1D are schematic views illustrating the medical treatment support system according to the first embodiment. FIG. 2 is a schematic view illustrating information used in the medical treatment support system according to the embodiment. FIG. 3A and FIG. 3B are schematic views illustrating the operation of the medical treatment support system according to the first embodiment. FIG. 4A to FIG. 4C are schematic views illustrating the medical treatment support system according to the second embodiment. FIG. 5A to FIG. 5D are schematic views illustrating the medical treatment support system according to the third embodiment. FIG. 6A to FIG. 6C are schematic views illustrating the medical treatment support system according to the fourth embodiment. FIG. 7A to FIG. 7C are schematic views illustrating the medical treatment support system according to the fifth embodiment.

Embodiments of the present invention will be described below with reference to the drawings.
In the present specification and drawings, the same elements as those described above with reference to the previous drawings are denoted by the same reference numerals, and detailed description thereof is omitted as appropriate.

(First embodiment)
FIG. 1A to FIG. 1D are schematic views illustrating the medical treatment support system according to the first embodiment.
FIG. 1B to FIG. 1D schematically illustrate various information (data or signals) in the medical treatment support system.

  As shown in FIG. 1A, the medical treatment support system 110 according to this embodiment includes a biological sensor 20 and a sound sensor 11.

  The biological sensor 20 detects the biological state of the target person 81.

  The subject 81 is a medical person. The target person 81 receives support from the supporter 80. The supporter 80 includes, for example, at least one of a doctor 83, a nurse 82a, a caregiver 82b, and a family member 82c. The nurse 82a (or caregiver 82b) has, for example, a recognition tag 82s (for example, an ID tag).

  For example, the subject 81 receives support from the supporter 80 at the subject's 81 home, hospital, or care facility. The subject 81 is, for example, a care recipient.

  By the medical treatment support system 110 according to the embodiment, for example, at least one of the target person 81 and the supporter 80 receives a service (a service related to the medical treatment of the target person 81).

  For example, the target person 81 is a user of the bed 70, for example. The bed 70 is an electric bed, for example. In this example, the bed 70 includes a bottom 71 and a mattress 76. A mattress 76 is placed on the bottom 71. The subject 81 lies on the mattress 76.

  In this example, the biosensor 20 is provided between the bottom 71 and the mattress 76. For example, the biosensor 20 detects a force (including vibration) applied to the biosensor 20. For example, the biosensor 20 detects a force (vibration or the like) according to the state of the subject 81 on the mattress 76. For example, at least a part of the biological state of the subject 81 may be detected by a load sensor provided on the bed 70 or the like.

  The biological state includes, for example, at least one of heart rate, pulse rate, respiratory rate, body temperature, blood pressure, blood oxygen saturation, body weight, sleep, awakening, getting out of bed, rising, and end sitting position. The oxygen saturation of blood includes, for example, percutaneous arterial oxygen saturation (SpO2). The biological state may be detected automatically, for example, continuously.

  As the biosensor 20, a sensor attached to or attached to the body (or clothes) of the subject 81 may be used.

  A signal (information) obtained by the biological sensor 20 is transmitted to the communication device 25, for example. For this transmission, any wired or wireless method is applied.

  The sound sensor 11 detects the voice V0 of the subject 81. The sound sensor 11 may further detect the voice of the supporter 80 (for example, at least one of a nurse 82a, a caregiver 82b, and a family member 82c). The sound sensor 11 is a microphone, for example.

  The sound sensor 11 is included in the support device 10, for example. The support device 10 includes a housing 14. The sound sensor 11 is provided in the housing 14. In this example, the support device 10 is further provided with a sound generation unit 12, a short-range communication unit 15, and a transmission / reception unit 13.

  The sound generator 12 is, for example, a speaker. As will be described later, for example, a sound for the subject 81 or a supporter 80 (for example, at least one of a nurse 82a, a caregiver 82b, and a family member 82c) is output from the sound generation unit 12.

  The short-range communication unit 15 recognizes the recognition tag 82s of the nurse 82a (or a caregiver 82b or the like). At least a part of the operation of the support device 10 may be controlled by the recognition of the nurse 82a.

  The transmission / reception unit 13 performs signal transmission / reception (communication) with the communication device 25, for example. For this communication, any wired or wireless method is applied.

  A signal (information) related to the voice V0 of the subject 81 detected by the sound sensor 11 is supplied to the voice information database DB1 via the communication device 25. On the other hand, a signal (information) obtained by the biological sensor 20 is supplied to the biological information database DB2 via the communication device 25. These databases may be provided on the cloud, for example.

  A voice recognition process is performed based on the voice information database DB1. The voice corresponding to the voice V0 of the subject 81 is analyzed by the physical feature amount. The emotion of the subject 81 is estimated based on the physical feature amount analysis. For example, the tendency of emotion is analyzed from the voice data of the target person 81. The physical feature amount includes, for example, at least one of an outline of a voice spectrum, a voice spectrum power, a voice pitch F0, a voice spectral flatness SFM, and the like. Emotions are classified by a plurality of types, for example. The plurality of types includes, for example, at least one of normality, joy, anger, and sadness. The emotion of the target person 81 is converted into a numerical value (for example, emotion parameter) corresponding to the type of emotion. For example, an increase in emotion is expressed by an emotion parameter (numerical value). For example, emotions may be analyzed based on Russell's ring model or the like. Numerical values are derived from the results of the analysis. A temporal change in the emotion parameter corresponding to the emotion of the subject 81 is derived.

  On the other hand, a temporal change in the biological state of the subject 81 is derived based on the biological information database DB2. For example, the biological information parameter D1 is derived for each of heart rate, pulse rate, respiration rate, body temperature, blood pressure, blood oxygen saturation, body weight, sleep, awakening, getting out of bed, rising, and end sitting position. For example, threshold values are set for each of the biological information parameters D1 for heart rate, pulse rate, respiratory rate, body temperature, blood pressure, blood oxygen saturation, body weight, sleep, awakening, getting out of bed, rising and sitting position. . When the measured value of the biological information parameter D1 exceeds the threshold value, it is determined that the state is abnormal. Alternatively, regarding two or more combinations of the plurality of biological information parameters D1, a case where the measured value exceeds a threshold value may be determined as an abnormal state.

  FIG. 1B schematically illustrates temporal changes in the audio signal V1 corresponding to the voice V0 of the subject 81. FIG. 1C schematically illustrates temporal changes in the emotion parameter E1 derived from the audio signal V1. FIG. 1D schematically illustrates a temporal change in the biological information parameter D1 corresponding to the biological state of the subject 81. The horizontal axis of these figures is time t.

  For example, as shown in FIG. 1D, a state (abnormal state) in which the biological information parameter D1 exceeds the threshold value DL1 is detected. In this example, the biological information parameter D1 is blood pressure. In this example, an abnormal state occurs at the first time t1 and the second time t2. It is considered that the abnormal state of blood pressure is affected by abnormalities of emotion in addition to abnormalities of the body.

  In the present embodiment, the emotion parameter E1 is derived (see FIG. 1C) based on the temporal change of the audio signal V1 (see FIG. 1B). In this example, the emotion parameter E1 changes significantly at the first time t1. At the second time t2, the change in the emotion parameter E1 is small.

  For example, the following situations can be considered. The grandson of the subject 81 participated in the sports competition. Before and after the first time t1, the sports competition was broadcast on television. The subject 81 watched the broadcast. For this reason, the emotion parameter of the subject 81 has changed greatly at the first time t1.

  At the second time t2, the emotion parameter E1 is not abnormal. For this reason, it is considered that the abnormal state of the biological information parameter D1 (high blood pressure state) at the second time t2 is caused by a physical abnormality. For example, the abnormal state of the biological information parameter D1 at the second time t2 is highly likely to indicate a dangerous state.

  On the other hand, the emotion parameter E1 is abnormal at the first time t1. For this reason, the abnormal state of the biological information parameter D1 (high blood pressure state) at the first time t1 is considered to be due to the influence of the television broadcast described above.

  By focusing on the emotion parameter E1 in addition to the biological information parameter D1, it is considered that the state of the target person 81 can be grasped more accurately. For example, the doctor 83 grasps the state of the subject 81 by grasping the biological state of the subject 81. At this time, the state of the subject 81 can be grasped more accurately by grasping the change in the emotion of the subject 81 along with the biological state.

  As shown in FIG. 1A, in the embodiment, for example, a display device 83D (for example, a providing unit) used by a doctor 83 (supporting person 80) adds an emotion parameter E1 in addition to the biological information parameter D1. Corresponding emotion information ES1 is displayed. For example, a pictogram based on the emotion parameter E1 may be displayed as the emotion information ES1. Thereby, the doctor 83 can grasp | ascertain the biometric information parameter D1 more correctly, for example except the influence of an emotion.

  Thus, for example, the medical treatment support system 110 according to the embodiment uses the biological information (for example, the biological information parameter D1) based on at least a part of the biological state of the subject 81 using the emotion information ES1 corresponding to the emotional state of the subject 81. ). As described above, this emotional state is estimated based on the voice V 0 of the subject 81 detected by the sound sensor 11. For example, the emotional state of the target person 81 is estimated by performing voice recognition processing on the voice based on the voice V0.

  According to the embodiment, the supporter 80 (for example, the doctor 83) can more accurately grasp the biological state except for the influence of emotional changes. Thereby, the supporter 80 can provide the subject 81 with treatment for more appropriate medical treatment. According to the embodiment, a medical treatment support system that can provide a better service can be provided.

  For example, when the output information OS is provided from the medical treatment support system 110 according to the embodiment to the display device 83D (for example, a providing unit), the display is performed on the display device 83D. The output information OS in this case corresponds to the visual information VS. As will be described later, auditory information may be provided from the medical treatment support system 110. For example, the medical treatment support system 110 provides an output information OS including at least one of visual information VS and auditory information. This output information OS changes according to the emotional state of the target person 81. The emotional state of the subject 81 is estimated based on at least one of the biological state and the voice V0. For example, the visual information VS includes an image signal (data) or a video signal (data). By supplying the visual information VS to the display device, display according to the visual information VS is performed on the display device. The visual information VS may include a displayed image or video.

  In the embodiment, the derivation of the emotion information ES1 corresponding to the emotional state of the target person 81 is performed by the processing unit 60, for example. And the derivation | leading-out of the biometric information (for example, biometric information parameter D1) based on at least one part of the biometric state of the object person 81 is performed by the process part 60, for example. The processing unit 60 may be provided on a cloud, for example. For example, the processing unit 60 may be provided in the support device 10. The processing unit 60 may be provided in a computer including the display device 83D, for example.

  In the embodiment, at least one of the detection of the voice V0, the voice recognition of the voice obtained from the voice V0, and the estimation of the emotional state may be started based on the detection result by the biological sensor 20. For example, when speech recognition is always performed, the processing unit 60 requires high processing capability (including processing speed). Furthermore, a high communication speed is required for communication with the processing unit 60. At this time, by performing voice recognition or the like when necessary, requirements for the processing unit 60 and the communication speed are alleviated.

  For example, when the biological state detected by the biological sensor 20 is determined to be an abnormal state, detection of the voice V0 is started. Alternatively, when the biological state is determined to be an abnormal state, estimation of the emotional state may be started. The estimation of the emotional state includes at least a part of voice recognition processing, for example. Thereby, an easier-to-use medical support system can be provided.

  For example, the biological state is continuously detected. Then, the emotional state based on the voice V0 is estimated using the time when the biological state is determined to be abnormal as a trigger. Efficient estimation of emotional state is possible.

  For example, when the short-range communication unit 15 recognizes the recognition tag 82s of the nurse 82a (or caregiver 82b or the like), the detection of the voice V0 or the estimation of the emotional state (including voice recognition) is started. good.

  For example, the human sensor 16 may be provided in the support device 10. When the human sensor 16 detects that the supporter 80 has approached the subject 81, detection of the voice V0 or estimation of emotional state (including voice recognition) may be started.

  For example, if it is detected by the sound sensor 11 that the support person 80 has made a voice toward the target person 81, estimation of emotional state (including voice recognition) may be started.

  Furthermore, in the embodiment, the support required state of the target person 81 may be estimated. The support-needed state is estimated based on, for example, at least one of the biological state and the voice V0. The support-needed state includes at least one of the deterioration of the health state, restlessness, excretion, pressure ulcer, and possibility of falling of the subject 81. For example, by detecting the biological state of the subject 81, it is possible to grasp (predict) them immediately before at least one of deterioration of health, restlessness, excretion, pressure sores, and falls, for example. For example, by voice recognition processing based on the voice V0 of the target person 81, for example, they can be grasped (predicted) immediately before at least any one of deterioration of health, restlessness, excretion, pressure ulcer, and fall. it can.

  In the embodiment, the medical treatment support system 110 may further notify the supporter 80 of such a support required state of the target person 81. For example, the support required state may be notified by a sound generator 12 (speaker) or a lamp provided in the support device 10. For example, a display (or generation of sound or vibration, etc.) indicating that a support is required may be performed on a display such as a nurse station provided in a facility where the target person 81 is present. A display (or generation of sound or vibration, etc.) is displayed on a terminal device (for example, display device 83D etc.) owned by supporter 80 (for example, doctor 83, nurse 82a, caregiver 82b, family 82c, etc.). It may be done.

  In this way, by notifying the state of support required, more appropriate support can be provided promptly at the appropriate time.

  In the present embodiment, a sound S1 (for example, auditory information) directed toward the subject 81 may be output from the sound generation unit 12 (for example, a speaker). For example, the sound generator 12 generates a sound S1 including at least one of questions and calls to the subject 81 (see FIG. 1A). This content relates to the health and safety state of the subject 81. This content is determined based on at least one of the biological state of the subject 81 and the voice V0 of the subject.

  For example, in the case where the biological state of the subject 81 is body temperature, when the body temperature is higher than normal heat, the sound generator 12 will ask the question content such as “It seems that the heat is high. How is it?” Audio S1 is output. For example, there is a case where a voice V0 that the subject 81 is likely to suffer is generated. In such a case, the sound generator 12 outputs a sound S1 of the question content such as “How is it?”.

  Then, the sound sensor 11 may further detect another voice of the subject 81 after the generation of the voice S1. Then, the emotional state may be estimated further based on the other voice.

  Thus, when the biological state is detected by the biological sensor 20, and the detected biological state is abnormal, voice recognition of the subject's voice V0 is started, and the emotional state is estimated. In addition to this, the subject 81 may generate a sound S1 having contents such as a question about the health and safety state. Then, another voice (answer) of the subject 81 generated in response to the voice S1 is further subjected to voice processing, and the emotional state is estimated. Thereby, an emotional state can be estimated more accurately.

  In the medical treatment support system 110, for example, emotions are estimated from voice, and abnormal values of biological information due to temporary emotions are removed. Thereby, the precision of detection of an abnormal value can be improved about living body information.

  The voice S1 (for example, auditory information) corresponds to at least a part of the output information OS provided (output) from the medical treatment support system 110. As described above, the medical treatment support system 110 provides the output information OS including at least one of the visual information VS and the auditory information (for example, the voice S1). The output information OS changes according to the emotional state of the subject 81 estimated based on at least one of the biological state and the voice V0. For example, the auditory information may include a signal (for example, an electric signal) for generating the voice S1. The auditory information may include sound waves generated by the sound generator 12 (speaker).

  For example, the voice information database DB1 and the care information database DB4 may be related to each other. For example, the care information database DB4 may be referred to when providing the emotion information ES1 and the biological information (for example, the biological information parameter D1).

  The care information database DB4 is, for example, a master database. The care information database DB4 includes basic information (information for identifying the target person 81 or arbitrary information regarding the state of the target person 81). For example, the detailed information on care may be changeable according to the facility where the target person 81 is located. Detailed care information is stored in the care information database DB4. In such a case, emotion information ES1 may be provided together with biological information (for example, biological information parameter D1) based on the care information database DB4.

FIG. 2 is a schematic view illustrating information used in the medical treatment support system according to the embodiment. FIG. 2 illustrates a care code as an example of care information.
As shown in FIG. 2, the care code includes a large classification CL1, a medium classification CL2, a small classification CL3, and the like. The large classification CL1 is, for example, “bathing / cleanliness maintenance / change”. In addition, the major classification CL1 includes “movement / transfer / position change”, “meal”, “excretion”, “living independence support”, “social life support”, “behavioral problems”, “medicine”, “function” Training "or" operation not directly related to the target person "may be included. When the large classification CL1 is “bathing / cleanliness maintenance / changing clothes”, the middle classification CL2 includes, for example, “bathing”, “wiping”, and the like. When the middle classification CL2 is “cleaning”, the minor classification CL3 includes “preparation”, “working with words”, “help”, “watching etc.”, “cleaning up”, and the like. A code CN is defined for each of the plurality of small classifications CL3.

  According to such a code CN, the state of the subject 81 is expressed and recorded.

  In the medical treatment support system 110, in addition to biological information and voice recognition information, the state of the subject 81 is more accurately grasped using a care code (care information) stored in the care information database DB4. .

  In the medical treatment support system 110, information related to voice may be added (learned). For example, there is a case where the target person 81 makes a strange voice by assisting one of the care classifications. In such a case, the strange voice (voice) is treated as noise as voice information. Such information regarding noise treated as noise may be added (learned). Thereby, the state of the subject 81 can be estimated more accurately from the voice.

FIG. 3A and FIG. 3B are schematic views illustrating the operation of the medical treatment support system according to the first embodiment.
As illustrated in FIG. 3A, in the medical treatment support system 110 according to the embodiment, for example, the display device 83D (for example, the providing unit) used by the doctor 83 (supporter 80) has a plan I1 of the contents of the inquiry. Is displayed. The plan I1 of the contents of the inquiry is based on, for example, at least one of the biological state detected by the biological sensor 20 and the voice V0 detected by the sound sensor 11 (that is, the voice recognition processing result thereof).

  For example, based on at least one of the biological state detected by the biological sensor 20 and the voice V0 (or the voice recognition processing result) detected by the sound sensor 11, the inquiry content plan I1 is derived. For example, a database relating to the contents of an inquiry is provided. From this database, several plans for the contents of the interview are extracted. The extracted plan is proposed to the doctor 83 or the like as the plan I1. Thereby, a more appropriate examination can be supported.

  For example, as already described, the biometric information (biometric information parameter D1) and emotion information ES1 illustrated in FIG. Such information is used as a material for judging a medical inquiry or a material for judging a prescription. Further, the plan I1 of the contents of the interview and the answer of the subject 81 with respect to the plan I1 are used as the material for determining the prescription. For example, it is possible to support the visiting doctor to grasp the situation of the target person 81 more appropriately.

  As illustrated in FIG. 3B, a question I / Voice plan I2 to the subject 81 may be displayed on the display device 82D (for example, a providing unit). The display device 82D is, for example, a display device (such as a portable terminal) used by a nurse 82a, a caregiver 82b, a family member 82c, or the like. This plan I2 is based on, for example, at least one of the biological state detected by the biological sensor 20 and the voice V0 (and its voice recognition process) detected by the sound sensor 11.

  For example, a plan I2 for asking or speaking to the subject 81 is proposed to the supporter 80 (a nurse 82a, a caregiver 82b, or a family member 82c). For example, as plan I2, “Let's ask if there is a pain”, “Let's call out that the flower at the window has opened”, or “I know who I am. "Let's ask?" A proposal for a question (or voice call) is displayed. Based on the plan I2, the supporter 80 has a conversation with the subject 81. Thereby, the state of the subject 81 can be known more accurately.

  For example, a sign of disturbing behavior due to dementia in the subject 81 can be estimated. For example, it is possible to suggest to the nurse 82a, the caregiver 82b, the family member 82c, or the like the timing of consultation with the doctor 83 or the like for the relief of the situation such as pain.

  As described above, the medical treatment support system 110 according to the embodiment can provide a plan (plan I1 or plan I2 or the like) related to the content (topic, etc.) of the conversation with the target person 81. This provision is performed by the display device 83D or the display device 82D, for example. This proposal may be provided by voice or the like.

  The content of the conversation with the subject 81 is related to the health and safety state of the subject 81, for example. The provided plan (such as plan I1 or plan I2) is based on the detected biological condition and / or the voice V0.

  Based on such a plan, the supporter 80 (doctor 83, nurse 82a, care worker 82b, family 82c, etc.) conducts an inquiry or conversation. Then, the subject 81 answers in response to an inquiry or conversation. The voice of this answer may be further recognized.

  For example, the sound sensor 11 receives the voice of the supporter 80 of the target person 81 (question based on the plan I2 or the like) and another voice (answer) of the target person 81 generated according to the voice of the supporter 80. Further detect. This voice of the supporter 80 includes contents based on at least a part of the provided plan (such as plan I1 or plan I2). Then, the emotional state may be estimated further based on the other voice (answer).

  Furthermore, the voice of the supporter 80 of the target person 81 (question based on the plan I2 etc.) and another voice (answer) of the target person 81 generated in response to the voice of the supporter 80 are reproduced, It may be provided to a doctor 83 or the like. For example, the voice of the supporter 80 of the target person 81 and another voice (answer) of the target person 81 may be voice-recognized and displayed as sentences. This display may be provided to the doctor 83 or the like.

  For example, the biological state is determined to be abnormal at the second time t2 illustrated in FIG. At this time, the question plan I2 as described above is displayed on the display device 82D owned by the nurse 82a. The nurse 82a asks the subject 81 a question based on the plan I2. The voice of the answer of the subject 81 with respect to the question is detected. The answer voice is processed. By the voice processing, for example, the pain state of the subject 81 is stored as information in the voice information database DB1 or the like. Thereafter, the state of the subject 81 obtained by voice processing is provided to the doctor 83 and the like. Thus, in the embodiment, it is possible to further provide at least a part of the content corresponding to the other voice (answer of the subject 81).

  For example, in one example, the doctor 83 performs a medical examination after a lapse of time after it is determined that the biological state is abnormal. In another example, a medical examination by the doctor 83 is periodically performed, such as once a week, and the doctor 83 knows a change in the biological state during one week. At this time, when the biological state is abnormal, by receiving information obtained from the voice of the subject 81 according to the voice of the question based on the plan I2 or the like, the state of the subject 81 can be known more accurately Can do. A better service can be provided to the target person 81 by a supporter 80 (for example, a doctor 83).

  The above scheme I1 and scheme I2 correspond to at least a part of the output information OS. For example, the plan I1 and the plan I2 may be included in at least one of the visual information VS and the auditory information (for example, the voice S1). Also in this case, the medical treatment support system 110 provides the output information OS. The output information OS changes according to the emotional state of the subject 81 estimated based on at least one of the biological state and the voice V0.

(Second Embodiment)
FIG. 4A to FIG. 4C are schematic views illustrating the medical treatment support system according to the second embodiment.
As shown in FIG. 4A, the medical treatment support system 120 according to the present embodiment also includes a biological sensor 20 and a sound sensor 11. Also in this example, the biosensor 20 is provided on the bed 70 of the subject 81. Hereinafter, the medical support system 120 will be described with respect to parts different from the medical support system 110.

  In the medical treatment support system 120, a plan (such as plan I1 or plan I2) regarding the content of the conversation with the subject 81 is based on care information in addition to at least one of the detected biological state and voice V0. ing. The care information is stored in the care information database DB4, for example.

  For example, based on the biological state detected by the biological sensor 20, the voice V0 detected by the sound sensor 11 (and its voice recognition processing), or care information, a plan I1 for the contents of the inquiry is proposed to the doctor 83 or the like. . For example, based on the biological state detected by the biological sensor 20, the voice V0 detected by the sound sensor 11 (and its voice recognition processing), or the care information, a question I or question I2 to the target person 81 is determined. Can be proposed.

  In the medical treatment support system 120, in addition to the biological information and the voice recognition information, the state of the target person 81 is grasped more accurately by using a care code (care information).

  In the medical treatment support system 120, the voice S1 from the sound generation unit 12 (speaker) may be based on a care code (care information) in addition to biological information and voice recognition information. This voice S1 includes at least one of questions and calls to the subject 81 (contents related to the health and safety state of the subject 81). A more appropriate question or call voice S1 is obtained.

  In the medical treatment support system 120, emotion information (such as emotion information ES1 illustrated in FIG. 1A) corresponding to the emotional state of the subject 81 is biometric information (for example, FIG. May be provided together with the biological information parameter D1) exemplified in the above. This emotion information may be estimated based on care information in addition to the voice V0. The medical treatment support system 120 can also provide better services.

  In the medical treatment support system 120, for example, a sign of disturbing behavior due to dementia can be estimated. For example, an appropriate “care knowledge” can be instantly proposed to the nurse 82a, the caregiver 82b, the family 82c, and the like. For example, “knowledge” that is a reference for judgment such as an inquiry can be displayed on a display device 83D (for example, a providing unit) used by the doctor 83. For example, it is possible to support the grasp of the patient situation by the visiting doctor.

  In the medical treatment support system 120, the daily report information database DB3 may be used. For example, in the medical treatment support system 120, care records (for example, daily report information) are further used. For example, the care record is recorded or inputted by the supporter 80 of the target person 81. The supporter 80 is, for example, a nurse 82a, a caregiver 82b, a family member 82c, or the like. For example, support (work) for the target person 81 by the support person 80 is recorded (or input). The recorded care record (or input) is supplied to the daily report information database DB3.

  By using the daily report information database DB3, an even better service can be provided. For example, the voice information database DB1, the daily report information database DB3, and the care information database DB4 may be related to each other. By using the information stored in the care information database DB4, the state of the subject 81 can be grasped more accurately. Even better service can be provided.

(Third embodiment)
FIG. 5A to FIG. 5D are schematic views illustrating the medical treatment support system according to the third embodiment.
FIG. 5B to FIG. 5D schematically illustrate various types of information (data or signals) in the medical treatment support system.

  As shown in FIG. 5A, the medical treatment support system 130 according to the present embodiment includes a biosensor 20. The medical treatment support system 130 may further include a display device 83D (an example of a providing unit).

  Also in this example, the biological sensor 20 detects the biological state of the subject 81. Also in this example, the biosensor 20 is provided on the bed 70 of the subject 81. As already described, the biosensor 20 may be attached to or attached to the body (or clothes) of the subject 81.

  Also in the present embodiment, the medical treatment support system 130 (for example, the display device 83D) uses the emotion information (for example, the emotion parameter E1) corresponding to the emotional state of the target person 81 as biometric information (for example, based on at least a part of the biological state). And provided together with the biological information parameter D1). In the present embodiment, emotion information is estimated based on at least a part of the biological state. For example, emotion information is estimated based on an autonomic nerve state derived from at least a part of the biological state.

  For example, the biological state of the subject 81 (for example, heart rate, pulse rate, respiratory rate, body temperature, blood pressure, blood oxygen saturation, body weight, sleep, awakening, getting out of bed, rising and end sitting) Associated with autonomic state. The autonomic state includes a sympathetic state and a parasympathetic state. The autonomic state of the subject 81 is related to the emotional state of the subject 81 (at least one of normal, joy, anger, and sadness).

  For example, the biological state of the subject 81 is detected by the biological sensor 20. The detection result (biological information, for example, biometric information parameter D1) is supplied to the biometric information database DB2 via the communication device 25. The autonomic nervous state N1 of the subject 81 is derived from the biological information (biological information parameter D1). The autonomic nerve state N1 is supplied to the autonomic nerve analysis unit 61. In the autonomic nerve analysis unit 61, the emotional state (for example, the emotion parameter E1) of the subject 81 is derived based on the autonomic nervous state N1. Emotion information ES1 is derived from the emotion parameter E1.

  As shown in FIG. 5A, for example, the emotion parameter E1 is displayed together with the biological information parameter D1 on the display device 83D. Thereby, the doctor 83 can grasp | ascertain the biometric information parameter D1 more correctly except the influence of the change of an emotion, for example.

  In the present embodiment, for example, the sound sensor 11 can be omitted. The autonomic nerve state is derived by the biological sensor 20 that detects the biological state. Based on this autonomic state, the emotional state of the subject 81 is estimated. For this reason, in the medical treatment support system 130, a structure becomes simple.

  In the medical treatment support system 130, the support status of the target person 81 may be notified. In this case, the support required state is estimated based on at least one of the biological state and the autonomic nerve state. The support-needed state includes at least one of the deterioration of the health state, restlessness, excretion, pressure ulcer, and possibility of falling of the subject 81.

  For example, based on the biological state obtained from the biological sensor 20, the autonomic nervous state N1 of the subject 81 is derived. For example, at least any of a biological state (for example, heart rate, pulse rate, respiratory rate, body temperature, blood pressure, blood oxygen saturation, body weight, sleep, awakening, getting out of bed, rising and sitting position), and autonomic state N1 On the basis of this, notification of the support required state of the target person 81 may be performed. The notification is performed by, for example, a display such as a nurse station of a facility where the target person 81 is present. For example, the notification may be performed by a terminal device owned by a supporter 80 (for example, a doctor 83, a nurse 82a, a caregiver 82b, a family member 82c, or the like). The notification may include at least one of display, sound, and vibration.

  Also in the medical treatment support system 130, the plan of the content of the conversation with the subject 81 (the plan I1 or the plan I2, such as FIG. 2A and FIG. 2B) may be provided. The content is related to the health and safety state of the subject 81. The plan is based on, for example, at least one of the biological state and the autonomic state N1.

  In the medical treatment support system 130, for example, an autonomic nerve state is derived from biological information (state), and emotions are estimated. Thereby, for example, an abnormal value of biological information due to a temporary change in emotion is removed. For example, the accuracy of detection of abnormal values of biological information can be improved. Thereby, the biological condition of the subject 81 can be grasped more accurately.

  For example, the autonomic nerve state based on biological information (state) may be derived based on, for example, analysis of data by artificial intelligence or the like. In this case, the autonomic nerve can be derived more efficiently and more accurately than when the analyst estimates the state of the autonomic nerve while looking at the waveform or numerical value related to the biological information.

  In the medical treatment support system 130 according to the present embodiment, the sound sensor 11 (see FIG. 1A) may be further provided like the medical treatment support system 110.

  Also in this case, the sound sensor 11 detects the voice V0 of the subject 81. And emotion information ES1 may be estimated based on this voice V0 in addition to said autonomic nerve state N1. Thereby, for example, the emotional state of the subject 81 can be estimated more accurately.

  Furthermore, the sound sensor 11 may detect the voice of the supporter 80 of the subject 81 and the voice of the subject 81 generated according to the voice of the supporter 80. The voice of the supporter 80 includes content (for example, a question) based on at least a part of the above-mentioned plan (such as plan I1 or plan I2). The voice of the target person 81 generated according to the voice of the supporter 80 includes an answer according to a question or the like. In this case, the emotion information ES1 may be further estimated based on the voice (answer) of the subject 81 in addition to the autonomic nerve state N1. Thereby, for example, the emotional state of the subject 81 can be estimated more accurately.

  For example, the voice of the supporter 80 of the target person 81 (question based on the plan I2 or the like) and another voice (answer) of the target person 81 generated in response to the voice of the supporter 80 are reproduced. It may be provided to a doctor 83 or the like. For example, these voices may be subjected to voice recognition processing to form a sentence, and this sentence may be provided to the doctor 83 or the like.

  In the medical treatment support system 130, as in the medical treatment support system 130, the sound sensor 11 and the sound generator 12 (speaker, see FIG. 1A) may be provided. In this case, the sound generating unit 12 generates a sound S1 (see FIG. 1A) including contents including at least one of a question and a call to the target person 81. This content is related to the health and safety state of the subject 81. This content is based on at least one of the biological state and the autonomic nerve state N1. The sound sensor 11 detects the voice of the subject 81 after the generation of the voice S1 (answer to the voice S1). The emotional state may be further estimated based on this voice (answer) of the subject 81. Thereby, for example, the emotional state of the subject 81 can be estimated more accurately.

  In the medical treatment support system 130, at least a part of the content corresponding to the voice (answer) of the subject 81 may be provided. For example, the voice S1 generated from the sound generator 12 and another voice (answer) of the subject 81 generated in response to the voice S1 may be reproduced and provided to the doctor 83 or the like. For example, another voice (answer) of the target person 81 is subjected to voice recognition processing to become a sentence, and this sentence may be provided to the doctor 83 or the like together with a sentence corresponding to the voice S1.

(Fourth embodiment)
FIG. 6A to FIG. 6C are schematic views illustrating the medical treatment support system according to the fourth embodiment.
The medical treatment support system 140 according to the present embodiment includes the sound sensor 11 and a providing unit (for example, the display device 83D or the display device 82D).

  For example, the sound sensor 11 collects sounds around the subject 81. For example, the sound sensor 11 detects the voice V0 of the subject 81. The providing unit (for example, the display device 83D or the display device 82D) provides the first proposal based on the sound collected by the sound sensor 11. The first plan is, for example, a plan for prompting the subject 81 to answer the health / safety status of the subject 81. For example, the providing unit provides a first proposal related to the content of the conversation with the target person 81. The content of the conversation with the subject 81 is content related to the health and safety state of the subject 81. This first plan is based on the voice V 0 of the subject 81 detected by the sound sensor 11.

  For example, when the supporter 80 who uses the medical treatment support system 140 is a doctor 83, a plan I1 of an inquiry content is provided as the first plan (see FIG. 6B). For example, when the supporter 80 using the medical care support system 140 is a nurse 82a, a caregiver 82b, or a family member 82c, the first plan is a plan I2 for asking a question or talking to the target person 81.

  For example, the voice V0 of the subject 81 detected by the sound sensor 11 is subjected to voice recognition processing. Based on the result of the speech recognition process, the state of the subject 81 (for example, health and safety state) is estimated. Based on the estimated state of the target person 81, the first plan regarding the content of the conversation with the target person 81 is provided. Thereby, the supporter 80 (the doctor 83, the nurse 82a, the caregiver 82b, the family member 82c, or the like) can provide more appropriate support to the target person 81.

  In the medical treatment support system 140, when the short-range communication unit 15 recognizes the recognition tag 82s of the nurse 82a (or the caregiver 82b or the like), even if detection of the voice V0 or voice recognition of the voice V0 is started. good. Alternatively, when the human sensor 16 provided in the support device 10 or the like detects that the supporter 80 has approached the subject 81, detection of the voice V0 or voice recognition of the voice V0 may be started. . For example, if it is detected by the sound sensor 11 that the support person 80 makes a voice toward the target person 81, the voice recognition may be started.

  In the medical treatment support system 140, for example, a speaker is identified by an IC tag (recognition tag 82s) of a staff (a nurse 82a, a caregiver 82b, or a family member 82c). In the medical treatment support system 140, for example, by detecting an IC tag (recognition tag 82s), it becomes a trigger for acquiring conversation information for voice recognition.

  In the medical treatment support system 140, the sound sensor 11 uses the voice (question or voice) of the supporter 80 of the subject 81 and another voice (answer) of the subject 81 generated in response to the voice of the supporter 80. May be further detected. This voice of the supporter 80 includes contents based on at least a part of the above-mentioned first plan (plan I1 for the question content or plan I2 for asking or asking the subject 81).

  At this time, the medical treatment support system 140 (for example, a providing unit) may further provide the second plan related to the above contents. For example, the second plan is based on the above-mentioned another voice (the answer of the target person 81). For example, the contents of the second plan are contents for hearing the state of the subject person 81 in more detail based on the answer of the subject person 81.

  For example, when the supporter 80 using the medical care support system 140 is a doctor 83, the outline of the state of the target person 81 is grasped by the first plan. And as a 2nd plan, the plan for hearing in more detail based on the outline | summary obtained by the inquiry of a 1st plan is provided.

  For example, based on the first plan, the doctor 83 asks the subject 81 “Did you have symptoms similar to your family?” This corresponds to the voice (question or voice) of the supporter 80. In response to this question, the subject 81 replies, “My father had a similar disease”. This answer corresponds to the other voice (the answer of the subject 81). At this time, as a second plan, for example, “Let me ask you if your father had any other illness?” Or “Are there any other painful parts besides the headache? Let ’s ask. ” For example, such a second plan is displayed on the display device 83D. Based on the second plan, the doctor 83 further asks the subject 81, for example, “Are there any pains in other parts?” Such a plan may be further repeated and proposed.

  For example, when the supporter 80 using the medical care support system 140 is a nurse 82a, a caregiver 82b, or a family member 82c, the supporter 80 asks the subject 81 “Where is it painful? Ask? This corresponds to the voice (question or voice) of the supporter 80. In response to this question, the subject 81 replies that “the head hurts”. This answer corresponds to the other voice (the answer of the subject 81). At this time, as the second plan, for example, “Let's ask when?” Or “Let's ask if it is getting worse” is proposed. For example, such a second plan is displayed on the display device 82D. The supporter 80 (such as a nurse 82a, a caregiver 82b, or a family member 82c) further asks the subject 81, for example, “is it getting worse?” Based on the second plan. Such a plan may be further repeated and proposed.

  As described above, the target person 81 answers in response to a question based on the first plan. Based on the answer of the subject 81, the second plan is provided. For example, the outline of the state of the target person 81 is narrowed down by the answer of the target person 81. The second plan is further provided based on the narrowed down state of the target person 81. The second plan contains more detailed questions than the first plan. The second plan may include contents that were not included in the first plan. For example, at least a part of the second plan is different from the first plan.

  In the present embodiment, the voice recognition process of the voice 81 of the subject 81 is performed so as to relate to the health and safety state of the subject 81. For example, in speech recognition generally performed by a computer or the like, speech recognition is performed when a specific word (for example, a name given to the computer or the like) is uttered. The detected voice V0 includes a wide range of contents. For this reason, when voice recognition processing is performed on voice based on the voice V0, it is designed to be applicable to a wide range of contents.

  On the other hand, in the embodiment, recognition related to the health and safety state is preferentially performed. For example, speech recognition having a meaning such as “painful”, “stressed”, “mood”, “heat”, or “tremor” is preferentially performed. On the other hand, the speech recognition rate that is not directly related to the health and safety state may be lowered, such as “What fashion is popular now?”. For example, in a statistical model used in speech recognition, the priority of words related to health and safety conditions may be increased. For example, words (and utterances) related to health and safety may be preferentially registered in a word dictionary used for speech recognition. For example, in a learning model in automatic learning, words (and utterances) related to health and safety may be highly weighted. For example, in a language model used in speech recognition, storage of word chains related to health and safety conditions may be preferentially performed.

  By prioritizing recognition related to the health and safety state, speech recognition related to medical treatment is performed more efficiently.

(Fifth embodiment)
FIG. 7A to FIG. 7D are schematic views illustrating the medical treatment support system according to the fifth embodiment.
The medical treatment support system 150 according to the present embodiment includes the sound sensor 11 and a providing unit (for example, the display device 83D or the display device 82D). The sound sensor 11 is provided in the support device 10. In the medical treatment support system 150, the support device 10 includes a moving mechanism 17. The rest of the configuration of the medical treatment support system 150 can be the same as that of the medical treatment support system 140.

  The support device 10 can be moved by the moving mechanism 17. The support device 10 is a self-propelled robot. The support device 10 may include a sound generation unit 12, a transmission / reception unit 13, a housing 14, a short-range communication unit 15, and a human sensor 16. The support device 10 in the treatment support system 150 may perform the same operation as the support device 10 in the treatment support system 140.

  Since the support device 10 can be moved by the moving mechanism 17, various operations can be further performed.

  For example, the support device 10 may function as a communication robot. For example, the support apparatus 10 becomes a talk partner of the target person 81. For example, the target person 81 moves from the bed 70 to the table in the dining room. The subject 81 waits for a meal to be served. The support device 10 becomes a conversation partner while the target person 81 is waiting. For example, the support device 10 is a communication robot that fills a gap between tasks.

  For example, the target person 81 may have a communication disorder. For example, a communication disorder may occur due to a stroke or other illness, or a head injury. The support device 10 can support such rehabilitation of the subject 81.

  The support device 10 may be able to support rehabilitation of the target person 81 at home. The support device 10 may function as a training device, for example. The support device 10 can provide rehabilitation support tailored to each of the target persons 81.

  The support device 10 can support, for example, training for remembering words or training for re-listening their own utterances.

  The support device 10 can change the position of the support device 10 based on information detected by the sound sensor 11, the short-range communication unit 15, the human sensor 16, and the like. For example, the support apparatus 10 may be movable by self-running in conjunction with the movement of the target person 81 as a target.

  The medical treatment support system 150 can provide a medical treatment support system that can provide better services.

(Sixth embodiment)
The medical treatment support system according to the present embodiment includes the sound sensor 11, the biological sensor 20, and a providing unit (for example, the display device 83D or the display device 82D). In this medical treatment support system, one of the sound sensor 11 and the biological sensor 20 may be omitted.

  In the medical treatment support system, care records (for example, daily report information) are further used. Except this, it can be the same as that of the arbitrary medical treatment support system which concerns on said embodiment.

  For example, the care record is recorded or inputted by the supporter 80 of the target person 81. The supporter 80 is, for example, a nurse 82a, a caregiver 82b, a family member 82c, or the like. For example, support (work) for the target person 81 by the support person 80 is recorded (or input). The recorded care record (or input) is supplied to the daily report information database DB3.

  For example, in the medical treatment support system 120, the subject 81 is based on the voice information database DB1 related to the voice V0 of the subject 81, the biological information database DB2 related to the biological state detected by the biological sensor 20, the daily report information database DB3, and the like. A plan (for example, plan I1 or plan I2) related to the content of the conversation with is provided. The plan may be further based on care information.

  For example, in a supporter 80 (such as a nurse 82a, a caregiver 82b, or a family member 82c), for example, a sign of disturbing behavior due to dementia in the subject 81 can be estimated. For example, it is possible to suggest to the nurse 82a, the caregiver 82b, the family member 82c, or the like the timing of consultation with the doctor 83 or the like for the relief of the situation such as pain.

  For example, the supporter 80 (doctor 83) is provided with a plan related to the content of the conversation with the target person 81 (such as a plan I1 for the contents of the interview). The provided plan is used as the material for the judgment of the interview or the material for the judgment of the prescription. Further, the plan I1 of the contents of the interview and the answer of the subject 81 to the plan I1 are used as the material for determining the prescription. For example, it is possible to support the visiting doctor to grasp the situation of the target person 81 more appropriately.

  In the above embodiment and its modifications, care records (for example, daily report information) may be used. For example, the sound S1 generated from the sound generation unit 12 may be further based on care records in addition to the voice V0 of the subject 81. The voice S1 generated from the sound generator 12 may be further based on care records in addition to the autonomic nerve state N1 derived from the biological information. For example, the provided plan (plan I1, plan I2, plan 1 or plan 2) may be further based on care records.

(Sixth embodiment)
In the present embodiment, a plurality of sets including at least one of the biological sensor 20 and the sound sensor 11 are provided. For example, a plurality of subjects 81 move into one facility, and a set including at least one of the biosensor 20 and the sound sensor 11 is provided for each of the subjects 81. Or, for example, each of a plurality of subjects 81 is being treated at home. Each of the plurality of subjects 81 is provided with a set including at least one of the biological sensor 20 and the sound sensor 11. Thus, the plurality of sets are provided corresponding to the plurality of subjects 81, respectively.

  In such a case, the medical treatment support system provides priorities for correspondence to the plurality of subjects 81 based on the biological state (or biological information) and emotional state (or emotional information) obtained from each of the plurality of sets. You may do it. For example, the supporter 80 (physician 83, nurse 82a, or caregiver 82b) preferentially treats the subject 81 with a high degree of urgency.

  For example, when supporting a plurality of subjects 81, a proposal for proper arrangement of a plurality of supporters 80 (nurse 82a or caregiver 82b) can be proposed. More efficient support becomes possible.

  According to the embodiment, a medical treatment support system that can provide a better service can be provided.

  The embodiments of the present invention have been described above with reference to specific examples. However, the present invention is not limited to these specific examples. For example, regarding the specific configuration of each element included in the medical treatment support system, such as a sound sensor, a biosensor, and a providing unit, the present invention is similarly implemented by appropriately selecting from a well-known range by those skilled in the art. As long as the above effect can be obtained, it is included in the scope of the present invention.

  Combinations of any two or more elements of each specific example within the technically possible range are also included in the scope of the present invention as long as they include the gist of the present invention.

  In addition, any medical support system that can be implemented by a person skilled in the art based on the medical support system described above as an embodiment of the present invention is also within the scope of the present invention as long as it includes the gist of the present invention. Belongs.

  In addition, in the category of the idea of the present invention, those skilled in the art can conceive of various changes and modifications, and it is understood that these changes and modifications also belong to the scope of the present invention. .

  DESCRIPTION OF SYMBOLS 10 ... Support apparatus, 11 ... Sound sensor, 12 ... Sound generation part, 13 ... Transmission / reception part, 14 ... Housing | casing, 15 ... Short distance communication part, 16 ... Human sensor, 17 ... Movement mechanism, 20 ... Biosensor, 25 ... Communication device 60 ... Processing unit 61 ... Autonomic nerve analysis unit 70 ... Bed 71 ... Bottom 76 ... Mattress 80 ... Supporter 81 ... Subject 82D ... Display device 82a ... Nurse 82b ... Caregiver, 82c ... family, etc. 82s ... recognition tag, 83 ... doctor, 83D ... display device, 110, 120, 130, 140, 150 ... medical care support system, CL1 ... major classification, CL2 ... medium classification, CL3 ... minor classification D1 ... biometric information parameter, DB1 ... voice information database, DB2 ... biometric information database, DB3 ... daily report information database, DB4 ... care information Information database, DL1 ... threshold value, E1 ... emotion parameter, ES1 ... emotion information, I1, I2 ... plan, N1 ... autonomic state, S1 ... voice (auditory information), OS ... output information, V0 ... voice, V1 ... Audio signal, VS ... visual information, t ... time, t1, t2 ... first and second time

Claims (24)

A biological sensor for detecting the biological state of the subject,
A sound sensor for detecting the voice of the subject;
With
A medical treatment support system that provides output information including at least one of visual information and auditory information that changes according to the emotional state of the subject estimated based on at least one of the biological state and the voice.   The medical treatment support system according to claim 1, wherein emotion information corresponding to the emotional state of the subject is provided together with biological information based on at least a part of the biological state. A biological sensor for detecting the biological state of the subject,
A sound sensor for detecting the voice of the subject;
With
A medical treatment support system that provides emotion information corresponding to an emotional state of the subject together with biological information based on at least a part of the biological state, and the emotional state is estimated based on the voice.   The medical assistance system according to claim 2 or 3, wherein when the biological state detected by the biological sensor is determined to be an abnormal state, detection of the voice is started or estimation of the emotional state is started. . Further inform the support status of the subject,
The support required state is estimated based on at least one of the biological state and the voice,
The medical treatment support system according to any one of claims 2 to 4, wherein the support-needed state includes at least one of deterioration of health condition, restlessness, excretion, pressure ulcer, and possibility of falling of the subject. . A sound generator,
The sound generation unit generates a sound including at least one content of a question and a call to the subject, the content is related to a health and safety state of the subject, and the content is the biological state and Based on at least one of the voices,
The sound sensor further detects another voice of the subject after the occurrence of the sound;
The medical support system according to any one of claims 2 to 5, wherein the emotional state is further estimated based on the another voice. Can further provide a proposal regarding the content of the conversation with the subject;
The content relates to the health and safety status of the subject,
The medical treatment support system according to any one of claims 2 to 5, wherein the plan is based on at least one of the biological state and the voice. The sound sensor further detects a voice of the supporter of the target person and another voice of the target person generated according to the voice of the supporter, and the voice of the supporter is the draft Including content based on at least part of
The medical treatment support system according to claim 7, wherein the emotional state is further estimated based on the other voice.   The medical treatment support system according to claim 6 or 7 which can further provide at least a part of contents corresponding to said another voice. A biological sensor for detecting the biological state of the subject,
A providing department;
With
The providing unit provides emotion information corresponding to the emotional state of the subject together with biological information based on at least a part of the biological state, and the emotion information is estimated based on at least a part of the biological state. Medical treatment support system.   The medical treatment support system according to claim 10, wherein the emotion information is estimated based on an autonomic nerve state derived from at least a part of the biological state. Inform the subject of the support needs,
The support state required is estimated based on at least one of the biological state and the autonomic state,
The medical support system according to claim 11, wherein the support-needed state includes at least one of health deterioration, restlessness, excretion, pressure ulcer, and fall possibility of the subject. Can provide a draft content of the conversation with the subject;
The content relates to the health and safety status of the subject,
The medical treatment support system according to claim 11 or 12, wherein the plan is based on at least one of the biological state and the autonomic state. A sound sensor,
The sound sensor detects the voice of the supporter of the subject and the voice of the subject generated in response to the voice of the supporter, and the voice of the supporter is at least one of the proposals Including content based on
The medical support system according to claim 13, wherein the emotional state is further estimated based on the voice of the subject. A sound sensor;
A sound generator;
Further comprising
The sound generation unit generates a sound including content including at least one of a question and a call to the subject, the content is related to a health and safety state of the subject, and the content is the biological state And at least one of the autonomic nerve states,
The sound sensor detects a voice of the subject after the generation of the voice;
The medical treatment support system according to any one of claims 11 to 14, wherein the emotional state is further estimated based on the voice.   The medical treatment support system according to claim 14, wherein at least a part of content corresponding to the voice can be further provided. A sound sensor that collects sounds around the subject,
A providing unit for providing a first proposal for prompting the subject to answer about the health and safety status of the subject from the voice collected by the sound sensor;
Medical treatment support system with The sound sensor further detects a voice of the supporter of the target person and another voice of the target person generated according to the voice of the supporter. Including content based on at least part of one proposal,
The providing unit further provides a second plan related to the content,
The medical treatment support system according to claim 17, wherein the second plan is based on the other voice.   The medical support system according to claim 6 or 15, wherein the voice is further based on a care record.   The medical treatment support system according to claim 7, 8, 13, or 14, wherein the plan is further based on a care record.   The medical treatment support system according to claim 17, wherein the first plan is further based on a care record. A plurality of sets including at least one of the biological sensor and the sound sensor are provided,
The plurality of sets correspond to the plurality of subjects, respectively.
The medical treatment support system according to any one of claims 1 to 16, wherein the priority order of correspondence to the plurality of subjects can be provided based on a biological state and an emotional state obtained from each of the plurality of sets. .   The medical assistance system according to any one of claims 1 to 22, wherein the biological state includes at least one of heartbeat, respiration, body temperature, blood pressure, and percutaneous arterial oxygen saturation of the subject. .   The medical support system according to any one of claims 1 to 23, wherein the biological sensor is provided on a bed used by the subject.

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