JP2021068396A - Biological information management system - Google Patents

Abstract

To provide a biological information management system which allows for identifying the person who belongs to the detected biological information.SOLUTION: A biological information management system A1 provided herein comprises first and second biological sensors 1, 2 configured to be brought into direct or indirect contact with a person H0 to detect biological information of the person H0, and an identification unit 311 for identifying the person H0 based on the biological information.SELECTED DRAWING: Figure 1

Description

The present disclosure relates to a biological information management system.

Patent Document 1 discloses a biological signal detecting device including a biological signal detecting means, an existence determining means, and a prohibiting means. The biological signal detecting means is attached to daily necessities such as bedding and chairs to detect biological signals such as pulse rate. The existence determination means determines the presence or absence of a living body. The prohibiting means prohibits the detection of the biological signal if the determination result of the existence determining means is absent.

Japanese Unexamined Patent Publication No. 8-322804

In the above-mentioned Patent Document 1, when a plurality of people are targeted for detection of biometric information, it is not possible to specify who the detected biometric information is.

An object of the present disclosure is to provide a biometric information management system capable of identifying who the detected biometric information is.

The biometric information management system according to one aspect of the present disclosure includes at least one biosensor that directly or indirectly contacts a person to detect the person's biometric information, and the person based on the biometric information. It is provided with an identification unit for identifying.

As described above, the present disclosure has the effect of being able to identify who the detected biometric information is.

It is a block diagram which shows the biological information management system in embodiment. It is a block diagram which shows the biological information management system of the 1st modification of the same above. It is a block diagram which shows the biological information management system of the 2nd modification of the same above. It is the schematic which shows the structural example of the biological sensor of the 1st application example of the same above. It is a flowchart which shows the operation of the biological information management system of 1st application example. It is the schematic which shows the structural example of the biological sensor of the 2nd application example of the same above. It is a flowchart which shows the operation of the biological information management system of the 2nd application example. It is the schematic which shows the structural example of the biological sensor of the 3rd application example of the same above. It is a flowchart which shows the operation of the biological information management system of the 3rd application example.

The present embodiment generally relates to a biometric information management system. More specifically, the present disclosure relates to a biometric information management system that detects human biometric information.

Hereinafter, the biological information management system A1 of the present embodiment will be described with reference to FIG.

(1) Outline The biological information management system A1 shown in FIG. 1 is used in a dwelling unit B1 such as a detached house or an apartment house in which a person lives. A detection area 9 is formed in the dwelling unit B1 so that a person H0 can enter and leave. As the person H0 of the present embodiment, a father H11 and a mother H12 are exemplified as a plurality of (two in FIG. 1) householders living in the dwelling unit B1.

The biological information management system A1 detects the biological information of the person H0 existing in the detection area 9. The detection area 9 is, for example, a chair, a toilet seat, or a bathtub, and the biological information management system A1 is a living body such as a person H0 sitting on a chair, a person H0 sitting on a toilet seat, or a person H0 in a bathtub. Detect information.

The biological information management system A1 identifies (individually identifies) whether the person H0 existing in the detection area 9 is the father H11 or the mother H12 based on the biological information. Then, the biological information management system A1 associates the detected biological information with either the father H11 or the mother H12.

Further, the biometric information management system A1 performs an analysis process for analyzing at least one of the physical and mental states of the identified person H0 based on the biometric information, and converts the result of the analysis process (analysis result) into the above-mentioned identification result. Link. That is, the biological information management system A1 associates information on at least one of the physical and mental states of the person H0 existing in the detection area 9 with the father H11 or the mother H12.

Then, the biological information management system A1 can support the provision of services related to at least one of the physical and mental states of the father H11 and the mother H12 based on the analysis result.

(2-1) Specific Configuration The biometric information management system A1 of FIG. 1 includes a first biosensor 1, a second biosensor 2, and a signal processing system 3.

The first biosensor 1 and the second biosensor 2 are installed in the detection area 9. For example, the first biosensor 1 and the second biosensor 2 are attached to a chair, a toilet seat, a bathtub, or the like, and the person H0 sitting on the chair, the person H0 sitting on the toilet seat, or the person H0 in the bathtub. Directly or indirectly contact with. It is preferable that the first biosensor 1 and the second biosensor 2 detect the biometric information of the person H0 without being noticed by the person H0 existing in the detection area 9. Here, when the sensor directly or indirectly contacts the person H0, the form in which the outer shell of the sensor contacts the person H0, and the chair, toilet seat, bathtub, etc. to which the sensor is attached come into contact with the person H0. Includes morphology.

The first biosensor 1 detects the first biometric information as the biometric information of the human H0 in a state where the first biosensor 1 is in direct or indirect contact with the human H0. The first biological information is preferably at least one of the heartbeat, respiration, pulse, and blood flow of human H0. The biological information management system A1 has a heart rate sensor 11 as the first biological sensor 1. The heartbeat sensor 11 detects the heartbeat of human H0 as the first biological information. As the heartbeat sensor 11, an optical or piezoelectric heartbeat sensor is used.

The second biosensor 2 detects the second biometric information as the biometric information of the human H0 in a state where the second biosensor 2 is in direct or indirect contact with the human H0. The biological information management system A1 has a load sensor 21 as a second biological sensor 2. The load sensor 21 detects the body weight of the person H0 as the second biological information. As the load sensor 21, a load sensor such as a strain gauge type, a magnetostrictive type, a differential transformer type, a capacitance type, a piezoelectric type, or an inductance type is used.

The signal processing system 3 preferably includes a computer system. A computer system mainly consists of a processor and a memory as hardware. When the processor executes the program recorded in the memory of the computer system, at least a part of the function as the signal processing system 3 in the present disclosure is realized. The program may be pre-recorded in the memory of the computer system, may be provided through a telecommunication line, and may be recorded on a non-temporary recording medium such as a memory card, optical disk, hard disk drive, etc. that can be read by the computer system. May be provided. A processor in a computer system is composed of one or more electronic circuits including a semiconductor integrated circuit (IC) or a large scale integrated circuit (LSI). The integrated circuit such as IC or LSI referred to here has a different name depending on the degree of integration, and includes an integrated circuit called a system LSI, VLSI (Very Large Scale Integration), or ULSI (Ultra Large Scale Integration). Further, an FPGA (Field-Programmable Gate Array) programmed after the LSI is manufactured, or a logical device capable of reconfiguring the junction relationship inside the LSI or reconfiguring the circuit partition inside the LSI should also be adopted as a processor. Can be done. A plurality of electronic circuits may be integrated on one chip, or may be distributed on a plurality of chips. The plurality of chips may be integrated in one device, or may be distributed in a plurality of devices. The computer system referred to here includes a microprocessor having one or more processors and one or more memories. Therefore, the microprocessor is also composed of one or more electronic circuits including a semiconductor integrated circuit or a large-scale integrated circuit.

Further, the computer system may be a system composed of one or a plurality of computers. For example, the function of the signal processing system 3 may be realized by the cloud (cloud computing).

The signal processing system 3 includes a signal processing unit 31 and a communication unit 32.

The signal processing unit 31 includes an identification unit 311, a biometric information processing unit 312, an analysis unit 313, and a storage unit 314.

The storage unit 314 is composed of, for example, a memory of a computer system, and the storage unit 314 stores registration data of each of the father H11 and the mother H12. In the registration data, the identification information of the father H11 and the mother H12 is associated with the history of the biometric information of the father H11 and the mother H12. Further, in the registration data, the identification information of the father H11 and the mother H12 is associated with the history of the analysis results of the father H11 and the mother H12. The biometric information of the registered data and each history of the analysis result are updated every time each process of the biometric information processing unit 312 and the analysis unit 313 is executed. That is, in the storage unit 314, each history of the biological information and the analysis result for each identification information of the person H0 is stored as registered data.

The identification information is written in the storage unit 314 by a setting operation in the signal processing system 3 or a remote setting by an external controller. Here, the identification information "father" of the father H11 and the identification information "mother" of the mother H12 are used.

The identification unit 311 identifies whether the person H0 in the detection area 9 is the father H11 or the mother H12 based on the biological information detected by at least one of the heart rate sensor 11 and the load sensor 21.

First, when the identification unit 311 detects that an object exists in the detection area 9 by the output of the load sensor 21, the identification unit 311 acquires the output of the heart rate sensor 11. The identification unit 311 determines whether or not the output of the heartbeat sensor 11 includes the heartbeat information of the person H0 as the first biological information based on the output waveform of the heartbeat sensor 11. If the output of the heart rate sensor 11 includes heart rate information, the identification unit 311 determines that the object in the detection area 9 is human H0, and the outputs of the heart rate sensor 11 and the load sensor 21 are biometric information. ..

Then, the identification unit 311 identifies who is the person H0 existing in the detection area 9 based on the detected biological information. That is, the identification unit 311 determines whether the detected biological information is the biological information of the father H11 or the mother H12.

The storage unit 314 stores a history of biometric information for each identification information of the father H11 and the mother H12. That is, the storage unit 314 stores the characteristics of the biometric information of the father H11 and the mother H12. Therefore, it is preferable that the identification unit 311 is realized by executing a recognition algorithm constructed by machine learning such as deep learning in a multi-layered neural network. The recognition algorithm is constructed by deep learning using the history of biometric information as a learning model, and the features of each biometric information of the father H11 and the mother H12 are extracted by deep learning. The history of biometric information is the history of biometric information of each of the father H11 and the mother H12 stored in the storage unit 314. In this case, it is preferable that the identification unit 311 updates the recognition algorithm every time the history of the biometric information stored in the storage unit 314 is updated. In addition to the recognition process using the neural network, the identification unit 311 may use another recognition algorithm such as a recognition process by principal component analysis or a recognition process by multiple regression analysis.

As described above, the identification unit 311 uses each of the heartbeat and body weight information detected as the biological information to determine which of the biological information of the father H11 and the mother H12 is the detected biological information.

The biometric information processing unit 312 links each biometric information detected by the heart rate sensor 11 and the load sensor 21 to the identification result of the identification unit 311. That is, the detection result of the biological information is associated with the identification information of the person H0 (for example, father H11 or mother H12) identified by the identification unit 311. The detection result of the biological information of this embodiment is each information of heartbeat and body weight.

The analysis unit 313 performs an analysis process for analyzing at least one of the physical and mental states of the person H0 (for example, father H11 or mother H12) based on biological information, and links the analysis result to the identification result of the identification unit 311. ..

Specifically, the analysis unit 313 analyzes the physical and mental states at the time of detecting the biological information by using the heartbeat information detected by the heartbeat sensor 11 and the body weight information detected by the load sensor 21. The analysis unit 313 used, for example, analysis of the presence or absence and degree of arrhythmia using the heartbeat information detected by the heartbeat sensor 11 and the weight information detected by the load sensor 21 as the analysis of the physical condition at the time of detecting the biological information. Analyze the degree of obesity and overweight, etc. In addition, the analysis unit 313 determines the degree of stability, tension, anxiety, or stress based on the change in heart rate detected by the heart rate sensor 11 and the change in heart rate waveform as the mental state at the time of detecting biological information. Can be analyzed.

Further, the analysis unit 313 analyzes the tendency of the physical and mental states by using the biological information detected by the heart rate sensor 11 and the load sensor 21, respectively, and the history of the biological information stored in the storage unit 314. May be good. In this case, the analysis unit 313 can analyze the correlation between the change in heartbeat and the change in body weight based on the tendency of change in heartbeat and the tendency of change in body weight. In addition, the analysis unit 313 can also analyze the mental stability based on the change tendency of the heartbeat, the change tendency of the body weight, and the like.

The communication unit 32 stores information (telephone number, e-mail address, IP address, etc.) of the external terminal 8 as a communication destination in advance. Then, the communication unit 32 transmits the analysis result of the analysis unit 313 and the information including the identification information of the person H0 associated with the analysis result to the external terminal 8 as notification information. The communication unit 32 communicates with the external terminal 8 via a network NT1 including at least one of a wide area communication network, a mobile communication network, and the Internet. The communication unit 32 is communicably connected to the network NT1 by wired communication via a communication line or wireless communication using a wireless signal. Wired communication is, for example, wired communication via a twisted pair cable, a dedicated communication line, a LAN (Local Area Network) cable, or the like. Wireless communication is, for example, wireless communication conforming to standards such as Wi-Fi (registered trademark), Bluetooth (registered trademark), ZigBee (registered trademark), low power radio that does not require a license (specified low power radio), or infrared rays. Wireless communication such as communication.

The external terminal 8 is an information terminal such as a smartphone, a tablet terminal, or a personal computer, and receives notification information from the signal processing system 3. The external terminal 8 that has received the notification information displays the analysis result of the analysis unit 313 and the identification information of the person H0 associated with the analysis result. That is, the communication unit 32 notifies the external terminal 8 after personally identifying at least one of the physical and mental states of the father H11 and the mother H12 in the dwelling unit B1. Therefore, the administrator H3 of the external terminal 8 can know at least one of the physical and mental states of the father H11 and the mother H12 in the dwelling unit B1.

In other words, the biometric information management system A1 realizes a watching service for watching over the father H11 and the mother H12 in the dwelling unit B1. For example, assuming that the administrator H3 of the external terminal 8 is a child of an elderly father H11 and a mother H12 who live in the dwelling unit B1, the children of the father H11 and the mother H12 even if they live away from the dwelling unit B1. Be able to grasp at least one of the physical and mental states.

The manager H3 may be an employee of a management company for the elderly watching service. In this case, when the manager H3 determines from the analysis result of the analysis unit 313 that the condition of the father H11 or the mother H12 is abnormal, he / she rushes to the dwelling unit B1 and takes measures against the abnormality.

Further, the communication unit 32 may transmit the result of the analysis process to the external terminal 8 when requested by the external terminal 8. That is, the administrator H3 operates the external terminal 8 at an arbitrary timing to transmit an information request to the signal processing system 3. Upon receiving the information request, the signal processing unit 31 transmits the analysis result of the latest predetermined period (for example, one day, one week, or one month) to the external terminal 8 via the communication unit 32.

Further, it is assumed that the householder H21 exists in the detection area 9 as the person H0 whose registration data is not stored in the storage unit 314. In this case, the storage unit 314 does not store the identification information of the householder H21, the history of biometric information, and the history of analysis results. Therefore, even if the heart rate sensor 11 and the load sensor 21 detect the biological information of the householder H21, the identification unit 311 cannot identify the householder H21.

Therefore, when the identification unit 311 acquires the biometric information whose biometric information cannot be identified, the identification unit 311 stores the biometric information associated with the temporary identification information in the storage unit 314 as new registration data. After that, every time the family member H21 exists in the detection area 9, the identification unit 311 can associate the detected biological information with the provisional identification information. Further, the identification information of the householder H21 can be rewritten from the provisional identification information to the "household" by the setting operation in the signal processing system 3 or the remote setting by the external controller.

As described above, the biometric information management system A1 can identify who the detected biometric information is based on the detected biometric information. Therefore, it is not necessary for the person H0 to carry an IC card or the like in order to deliver his / her identification information to the signal processing system 3, and the biometric information management system A1 has a simple configuration, and the detected biometric information is who's information. Can be specified.

Further, the biological information management system A1 transmits the analysis result of the analysis unit 313 and the information including the identification information of the person H0 associated with the analysis result to the external terminal 8 as notification information. Therefore, the administrator H3 who is away from the dwelling unit B1 can be notified of the state of the person H0 in the dwelling unit B1 after identifying who the state is.

(3) First Modified Example FIG. 2 shows the configuration of the biological information management system A2 as the first modified example of the biological information management system. The biological information management system A2 further includes an audio device 4, the signal processing system 3 further includes a sound drive unit 33, and the signal processing unit 31 further includes a sound control unit 315. The same components as those of the biometric information management system A1 described above are designated by the same reference numerals, and the description thereof will be omitted.

If the person H0 in the detection area 9 is moving without standing still, or if the mind of the person H0 is excessively unstable, the outputs of the heart rate sensor 11 and the load sensor 21 become unstable. As a result, the identification unit 311 may not be able to identify the person H0 in the detection area 9, and may become indistinguishable. Therefore, if the object in the detection area 9 is the person H0 but cannot be identified, the identification unit 311 causes the sound control unit 315 to output a sound signal from the sound drive unit 33 to the sound device 4. The sound drive unit 33 stores in advance acoustic data such as music or environmental sounds such as bird calls and rain sounds, and outputs a sound signal including the acoustic data to the acoustic device 4. The audio device 4 has a speaker that outputs sound in the detection area 9. The sound device 4 reproduces sound data and outputs music or environmental sound in the detection area 9.

The person H0 in the detection area 9 can relax by listening to music or environmental sounds, the movement of the person H0 is suppressed, and the mind is stabilized. As a result, the outputs of the heart rate sensor 11 and the load sensor 21 are stable, and the identification unit 311 can easily identify who the person H0 is.

Further, it is preferable that the sound driving unit 33 further stores acoustic data such as an alarm sound or a message. When the sound control unit 315 needs to issue an alarm or message to the person H0 in the detection area 9, the sound drive unit 33 causes the sound drive unit 33 to output a sound signal including acoustic data such as an alarm sound or message to the sound device 4. .. The sound device 4 reproduces sound data and outputs an alarm sound, a message, or the like in the detection area 9.

(4) Second Modified Example FIG. 3 shows the configuration of the biological information management system A3 as a second modified example of the biological information management system. The biological information management system A3 further includes a respiratory sensor 12, a pulse sensor 13, and a blood flow sensor 14 as the first biological sensor 1. The same components as those of the biometric information management system A1 described above are designated by the same reference numerals, and the description thereof will be omitted.

The respiration sensor 12 detects the respiration of human H0 as the first biological information. As the respiration sensor 12, a respiration sensor such as a pressure type or a piezoelectric type is used.

The pulse sensor 13 detects the pulse of human H0 as the first biological information. As the pulse sensor 13, an optical or piezoelectric pulse sensor is used.

The blood flow sensor 14 detects the blood flow of human H0 as the first biological information. As the blood flow sensor 14, a blood flow sensor such as a laser Doppler type is used.

The identification unit 311 uses the heartbeat, respiration, pulse, blood flow, and body weight information to determine whether the detected biometric information is the biometric information of the father H11 or the mother H12.

The biometric information processing unit 312 links each biometric information detected by the heart rate sensor 11, respiration sensor 12, pulse sensor 13, blood flow sensor 14, and load sensor 21 to the identification result of the identification unit 311. That is, the detection result of the biological information is associated with the identification information of the person H0 (for example, father H11 or mother H12) identified by the identification unit 311. The detection result of the biological information of the present embodiment is each information of heartbeat, respiration, pulse, blood flow, and body weight.

The analysis unit 313 performs analysis using the detection results of the respiration sensor 12, the pulse sensor 13, and the blood flow sensor 14 in addition to the analysis using the detection results of the heart rate sensor 11 and the load sensor 21 described above. The analysis unit 313 associates the analysis result with the identification result of the identification unit 311.

The analysis unit 313 analyzes the respiratory system using, for example, the respiratory information detected by the respiratory sensor 12 as an analysis of the physical condition at the time of detecting biological information. In addition, the analysis unit 313 analyzes the arrhythmia using the pulse information detected by the pulse sensor 13. In addition, the analysis unit 313 analyzes the blood pressure, blood vessel age, arteriosclerosis index, etc. using the blood flow information detected by the blood flow sensor 14. Further, the analysis unit 313 determines the degree of stability, tension, anxiety, or stress based on the detection results of the respiratory sensor 12, the pulse sensor 13, and the blood flow sensor 14 as the mental state at the time of detecting the biological information. Can be analyzed.

In addition, the analysis unit 313 uses the biological information detected by the respiratory sensor 12, the pulse sensor 13, and the blood flow sensor 14, and the history of the biological information stored in the storage unit 314, to state the physical and mental states. You may analyze the tendency of. In this case, the analysis unit 313 can analyze the correlation between each change in respiration, pulse, and blood flow and the change in body weight based on the change tendency of respiration, the change tendency of pulse, the change tendency of blood flow, and the like. .. The analysis unit 313 can also analyze the mental stability based on each change tendency of respiration, pulse, and blood flow.

As described above, the biometric information management system A3 uses each of the detected heartbeat, respiration, pulse, blood flow, and body weight information as biometric information to more accurately determine who the detected biometric information is. Can be well identified. In addition, at least one of the physical and mental states of human H0 can be analyzed more accurately.

(5) First Application Example The first application example uses the biological information management system A2 shown in FIG. In the first application example, the heart rate sensor 11 and the load sensor 21 of the biological information management system A2 are attached to the chair 5 of FIG. For example, the heart rate sensor 11 is attached to the backrest 51 of the chair 5, and the load sensor 21 is attached to the seat surface 51 of the chair 5. The chair 5 is, for example, a chair combined with a dining table, and the person H0 sits on the chair 5 and eats. The heart rate sensor 11 and the load sensor 21 can detect the biological information of the person H0 sitting on the chair 5 during the period from before the meal to after the meal.

The operation of the biological information management system A2 in the first application example will be described with reference to the flowchart of FIG. The storage unit 314 stores in advance the registration data corresponding to the identification information of the father H11 and the registration data corresponding to the identification information of the mother H12.

First, the identification unit 311 determines whether or not each output of the heart rate sensor 11 and the load sensor 21 is detected (S1). If the identification unit 311 senses the outputs of the heart rate sensor 11 and the load sensor 21 (Yes in S1), the identification unit 311 determines whether or not the outputs of the heart rate sensor 11 and the load sensor 21 are biometric information (S2). If the identification unit 311 does not detect the output of both or one of the heart rate sensor 11 and the load sensor 21 (No in S1), the process of step S1 is repeated.

Then, if the outputs of the heart rate sensor 11 and the load sensor 21 are biometric information (Yes in S2), the identification unit 311 determines who is the person H0 sitting in the chair 5 based on the detected biometric information. Is personally identified (S3). Then, if the identification unit 311 can personally identify the person H0 sitting in the chair 5 as the father H11 or the mother H12 (Yes in S3), the biometric information processing unit 312 detects the heart rate sensor 11 and the load sensor 21. Each biometric information is associated with the identification result of the identification unit 311. Further, the biometric information processing unit 312 links each biometric information detected by the heart rate sensor 11 and the load sensor 21 to the registered data corresponding to the personally identified identification information among the registered data of the storage unit 314 (S4). ..

If the outputs of the heart rate sensor 11 and the load sensor 21 are not biometric information (No in S2), the process of step S1 is repeated.

If the identification unit 311 cannot personally identify the person H0 sitting in the chair 5 as the father H11 or the mother H12 (No in S3), the biometric information processing unit 312 detects the heart rate sensor 11 and the load sensor 21. Each biometric information is associated with temporary identification information (S4). Then, the biometric information processing unit 312 newly registers the biometric information associated with the temporary identification information in the storage unit 314 as new registration data (S5).

The analysis unit 313 analyzes the physical and mental states of the person H0 sitting in the chair 5 by using the heartbeat information detected by the heart rate sensor 11 and the body weight information detected by the load sensor 21 (S6).

In step S6, the analysis unit 313 analyzes the fluctuation of the center of gravity of the person H0 sitting on the chair 5 by using the fluctuation of the body weight detected by the load sensor 21 to determine that the person H0 is dozing. Can be detected. Therefore, the analysis unit 313 determines whether or not the person H0 is dozing (S7). If the analysis unit 313 has detected the doze of the person H0 (Yes in S7), the sound control unit 315 notifies the sound drive unit to notify an alarm or a message that awakens the person H0 sitting in the chair 5. A sound signal is output from 33 to the sound device 4. The sound device 4 outputs an alarm sound or a message to the person H0 sitting in the chair 5 (S8).

If the analysis unit 313 has not detected the doze of the person H0 (No in S7), or if the sound control unit 315 notifies the person such as an alarm sound or a message (S8), does the analysis unit 313 recommend the diagnosis of the person H0? Whether or not it is determined (S9). Specifically, the analysis unit 313 determines whether or not the person H0 should be diagnosed at a medical institution based on the analysis result of the body and mind of the person H0 sitting in the chair 5. When the analysis unit 313 determines that it is better to receive a diagnosis at a medical institution, the communication unit 32 determines the analysis result of the analysis unit 313 (the physical and mental condition of the person H0, and recommends the diagnosis at the medical institution, etc.). , The personal identification result of the person H0 associated with the analysis result is transmitted to the external terminal 8 as notification information (Yes in S9). The external terminal 8 displays the notification information.

When the administrator H3 who sees the notification information of the external terminal 8 returns to the signal processing system 3 that he / she agrees to the diagnosis at the medical institution (Yes in S10), the analysis unit 313 requests the diagnosis together with the analysis result. Create a request message for. The communication unit 32 transmits the request message to a predetermined information terminal of the medical institution. At a later date, the medical institution transmits the diagnosis result to the signal processing system 3 via the network NT1. When the analysis unit 313 receives the diagnosis result from the medical institution, the analysis unit 313 causes the communication unit 32 to transmit the diagnosis result to the external terminal 8 as an analysis result indicating the knowledge of the doctor (S11).

If the administrator H3 who sees the notification information of the external terminal 8 does not agree with the diagnosis at the medical institution (No in S10), the analysis unit 313 creates additional information as the analysis result. For example, the analysis unit 313 acquires information on the physical and mental states of the person H0 as additional information from the server on the network NT1. Further, the analysis unit 313 acquires the information of the medical institution suitable for the physical and mental state of the person H0 from the server on the network NT1 as additional information. The communication unit 32 transmits the additional information to the external terminal 8 (S12).

Further, when the analysis unit 313 determines that it is not necessary to receive a diagnosis at a medical institution, the communication unit 32 determines that the analysis result of the analysis unit 313, the personal identification result of the person H0 associated with the analysis result, and the medical treatment. Notifying that the diagnosis at the institution is not necessary is transmitted to the external terminal 8 as notification information (No in S9).

Then, the signal processing unit 31 updates the registration data of the storage unit 314 by associating each biological information detected by the heart rate sensor 11 and the load sensor 21, the analysis result of the analysis unit 313, and the like with the identification result of the identification unit 311. (S13). The registration data update process may be appropriately performed each time the identification result and the analysis result are generated. If the chair 5 is a chair combined with the dining table, the person H0 is the chair 5. Sit down and eat. In this case, the heart rate sensor 11 and the load sensor 21 can detect the biological information of the person H0 sitting on the chair 5 during the period from before the meal to after the meal. Therefore, the analysis unit 313 can monitor the amount of food of the person H0 by using the fluctuation of the body weight detected by the load sensor 21.

The chair 5 may be a sofa in the living room where the person H0 can relax.

(6) Second Application Example The second application example uses the biological information management system A2 shown in FIG. In the second application example, the heart rate sensor 11 and the load sensor 21 of the biological information management system A2 are attached to the Western-style toilet bowl 6 of FIG. The Western-style toilet bowl 6 includes a concave main body 61, a toilet seat 62 arranged on the upper surface of the main body 61 and configured to be openable and closable with respect to the main body 61, and a toilet lid 63. In FIG. 6, the toilet seat 62 and the toilet lid 63 are open, and the toilet seat 62 and the toilet lid 63 in the open state are shown.

The biological information management system A2 of the second application example includes two heart rate sensors 11 and four load sensors 21. The signal processing unit 31 uses, for example, the average of the outputs of the two heart rate sensors 11 as heart rate information, and the sum of the outputs of the four load sensors 21 as body weight information. By making each sensitivity of the four load sensors 21 different, one load sensor 21 may be a load sensor capable of detecting a minute load.

The two heart rate sensors 11 are attached to the left and right parts of the toilet seat 62 on the upper surface of the toilet seat 62 so that the buttocks of the person H0 come into direct or indirect contact with each other. Therefore, the heartbeat information of the person H0 sitting on the toilet seat 62 can be stably detected by the two heartbeat sensors 11.

The four load sensors 21 are attached to the four protrusions 621 on the lower surface of the toilet seat 62. The four protrusions 621 are formed on the lower surface of the toilet seat 62 at the left front portion, the left rear portion, the right front portion, and the right rear portion of the toilet seat 62, respectively. When the toilet seat 62 is closed, the four protrusions 621 come into contact with the upper surface of the rim of the body 61. Therefore, when a downward force is applied to the closed toilet seat 62, a downward force is also applied to the four load sensors 21. Then, the information on the weight of the person H0 sitting on the toilet seat 62 can be stably detected by the four load sensors 21.

When the toilet seat 62 is closed, it is preferable that the hinge portion, which is the rotation mechanism of the toilet seat 62, is not loaded. That is, it is preferable that the downward force applied to the closed toilet seat 62 is not applied to the hinge portion of the toilet seat 62 but is applied to the four load sensors 21.

The operation of the biological information management system A2 in the second application example will be described with reference to the flowchart of FIG. 7.

The operation of the biological information management system A2 in steps S1 to S6 is the same as that of the first application example (see FIG. 5) described above, and the description thereof will be omitted.

In step S6, the analysis unit 313 can determine whether it is defecation or urination, and further the amount of excretion, using the change in body weight detected by the load sensor 21. For example, the analysis unit 313 determines that urination is caused if the body weight is continuously reduced, and determines that defecation is caused if the body weight is continuously reduced. In addition, the analysis unit 313 can detect that the person H0 is overpowering at the time of defecation by using each biological information detected by the heart rate sensor 11 and the load sensor 21.

Therefore, the analysis unit 313 determines whether or not the person H0 is overpowered at the time of defecation (S7a). If the analysis unit 313 detects the excessive force of the person H0 (Yes in S7a), the sound control unit 315 notifies the person H0 sitting on the toilet seat 62 that the force is excessive. Alternatively, a sound signal is output from the sound drive unit 33 to the sound device 4 so as to notify the message. The sound device 4 outputs an alarm sound or a message to the person H0 sitting on the toilet seat 62 (S8).

If the analysis unit 313 does not detect the excessive force of the human H0 (No of S7a), or if the sound control unit 315 notifies the alarm sound or message (S8), the diagnosis of the human H0 is recommended. It is determined whether or not to do so (S9). Hereinafter, the operation of the biological information management system A2 in steps S9 to S13 is the same as that of the first application example (see FIG. 5) described above, and the description thereof will be omitted.

In the biological information management system A2, two load sensors 21 are further provided on the floor panel on which the person H0 sitting on the toilet seat 62 rests both legs, or on a table, and not only the load by the buttocks of the person H0 but also each of the person H0. The load on the legs may also be detected. One of the two load sensors 21 detects the load by the left leg of the person H0, and the other of the two load sensors 21 detects the load by the right leg of the person H0.

In this case, the biological information management system A2 includes a total of six load sensors 21, and the signal processing unit 31 uses the sum of the outputs of the six load sensors 21 as body weight information. For example, the center of gravity of the person H0 sitting on the toilet seat 62 tends to fluctuate during defecation and urination. Therefore, the biological information management system A2 uses not only the load by the buttocks of the person H0 but also the load by the legs of the person H0, so that even if the center of gravity of the person H0 fluctuates, the weight of the person H0 can be obtained more accurately. Can be done. Further, the biological information management system A2 uses not only the load by the buttocks of the person H0 but also the load by the legs of the person H0, so that even if the center of gravity of the person H0 fluctuates, the excretion amount of the person H0 and the load of the person H0 It is also possible to obtain excessive force more accurately.

(7) Third Application Example The third application example uses the biological information management system A2 shown in FIG. In the third application example, the heart rate sensor 11 and the load sensor 21 of the biological information management system A2 are attached to the bathtub 7 of FIG. The bathtub 7 includes a rectangular bottom portion 71 and a side wall 72 extending upward from the peripheral edge of the bottom portion 71. The person H0 in the bathtub 7 is in a posture of leaning his back against the side wall 72. Therefore, the heart rate sensor 11 and the load sensor 21 are attached to the side wall 72. The heart rate sensor 11 and the load sensor 21 can detect the biological information of the person H0 in the bathtub 7. The heart rate sensor 11 and the load sensor 21 may be arranged at a plurality of locations on the side wall 72, respectively.

The operation of the biological information management system A2 in the third application example will be described with reference to the flowchart of FIG.

The operation of the biological information management system A2 in steps S1 to S6 is the same as that of the first application example (see FIG. 5) described above, and the description thereof will be omitted.

In step S6, the analysis unit 313 can detect the doze of the person H0 by analyzing the fluctuation of the center of gravity of the person H0 in the bathtub 7 by using the fluctuation of the body weight detected by the load sensor 21. In addition, the analysis unit 313 can detect the heart rate of the person H0, the heart rate fluctuation, the high frequency component HF (High Frequency) of the heart rate fluctuation, and the like. The heart beats due to the coordinating balance of the autonomic nervous system. The fluctuation component of the beat time interval is the heartbeat fluctuation. A component of a specific frequency (for example, 0.15 to 0.4 Hz) of this fluctuation is called HF. HF is an index that reflects parasympathetic nerve activity in the autonomic nervous system. Therefore, the analysis unit 313 can detect an unconscious emergency state of the human H0 from the autonomic nervous system of the human H0, each state of the parasympathetic nerve, the dozing state, and the like.

Therefore, the analysis unit 313 determines whether or not the person H0 is in an emergency state (S7b). If the analysis unit 313 detects an emergency state (Yes in S7b), the sound control unit 315 notifies the person H0 in the bathtub 7 of an alarm or message to wake up. A sound signal is output from 33 to the sound device 4. The sound device 4 outputs an alarm sound or a message to the person H0 in the bathtub 7 (S8b). Further, in step S8b, it is preferable that the communication unit 32 gives an emergency notification to the external terminal 8.

If the analysis unit 313 does not detect the emergency state of the person H0 (No in S7b), or if the sound control unit 315 notifies the alarm sound or message (S8b), the analysis unit 313 recommends the diagnosis of the person H0. Whether or not it is determined (S9). Hereinafter, the operation of the biological information management system A2 in steps S9 to S13 is the same as that of the first application example (see FIG. 5) described above, and the description thereof will be omitted.

(8) Third Modified Example The biological information management systems A1, A2, and A3 may use a sensor other than the heart rate sensor, the respiratory sensor, the pulse sensor, and the blood flow sensor as the first biological sensor 1.

The first biosensor 1 and the second biosensor 2 may be attached to housing equipment in a living space other than a chair, a toilet seat, and a bathtub. The housing equipment is preferably a housing equipment in a space where people H0 can relax.

The biometric information management systems A1, A2, and A3 may detect biometric information of a person in an office, store, or factory other than the dwelling unit.

The above-described embodiments, application examples, and modifications can be combined as appropriate.

(9) Summary The biometric information management system (A1, A2, A3) of the first aspect according to the above-described embodiment directly or indirectly contacts the human (H0) and the biometric information of the human (H0). It is provided with at least one biosensor (1, 2) for detecting the above, and an identification unit (311) for identifying a person (H0) based on biometric information.

The above-mentioned biometric information management system (A1, A2, A3) can identify who the detected biometric information is.

The biometric information management system (A1, A2, A3) of the second aspect according to the above-described embodiment is the biometric information processing unit (312) that associates the biometric information with the identification result of the identification unit (311) in the first aspect. ), It is preferable to further provide.

The above-mentioned biometric information management system (A1, A2, A3) can identify who the detected biometric information is.

In the biometric information management system (A1, A2, A3) of the third aspect according to the above-described embodiment, in the second aspect, at least one biosensor detects the first biometric information as biometric information. A plurality of biosensors including the sensor (1) and the second biosensor (2) that detects the second biometric information as biometric information are preferable. The first biosensor (1) detects at least one of the heartbeat, respiration, pulse, and blood flow of a person (H0) as the first biometric information. The second biosensor (2) detects the body weight of the person (H0) as the second biometric information.

The biometric information management system (A1, A2, A3) described above can identify who the detected biometric information is by using a plurality of biometric sensors (1, 2).

In the biometric information management system (A1, A2, A3) of the fourth aspect according to the above-described embodiment, in the third aspect, the identification unit (311) is of weight, heartbeat, respiration, pulse, and blood flow. It is preferable to identify the person (H0) based on at least one.

In the above-mentioned biometric information management system (A1, A2, A3), the detected biometric information is based on at least one of the heartbeat, respiration, pulse, and blood flow of the human (H0) and the weight of the human (H0). It is possible to identify who the information is.

The biometric information management system (A1, A2, A3) of the fifth aspect according to the above-described embodiment preferably further includes an analysis unit (313) in any one of the second to fourth aspects. The analysis unit (313) performs an analysis process for analyzing at least one of the physical and mental states of the person (H0) based on biological information, and associates the result of the analysis process with the identification result of the identification unit (311).

The above-mentioned biometric information management system (A1, A2, A3) can analyze at least one of the physical and mental states of a person (H0) after identifying who the detected biometric information is. it can.

It is preferable that the biological information management system (A1, A2, A3) of the sixth aspect according to the above-described embodiment further includes an analysis unit (313) in the fourth aspect. The analysis unit (313) performs an analysis process for analyzing at least one of the physical and mental states of a person (H0) based on at least one of body weight, heartbeat, respiration, pulse, and blood flow. The result is associated with the identification result of the identification unit (311).

The above-mentioned biometric information management system (A1, A2, A3) can analyze at least one of the physical and mental states of a person (H0) after identifying who the detected biometric information is. it can.

In the biometric information management system (A1, A2, A3) of the seventh aspect according to the above-described embodiment, in the sixth aspect, it is preferable that the analysis unit (313) performs an analysis process based on the fluctuation of the body weight. ..

The above-mentioned biometric information management system (A1, A2, A3) can detect a person's (H0) doze, food intake, defecation, urination, excretion, and the like.

In the biometric information management system (A1, A2, A3) of the eighth aspect according to the above-described embodiment, in any one of the fifth to seventh aspects, the result of the analysis process is on the network (NT1). It is preferable to include at least one of the information obtained from the server, the information indicating the knowledge of the doctor, or the information of the medical institution.

The above-mentioned biological information management system (A1, A2, A3) can present a response according to at least one of the physical and mental states of a person (H0).

The biometric information management system (A1, A2, A3) of the ninth aspect according to the above-described embodiment transmits the result of the analysis process to the terminal (8) in any one of the fifth to eighth aspects. It is preferable to further include a communication unit (32).

The above-mentioned biometric information management system (A1, A2, A3) can realize a person (H0) watching service.

In the biometric information management system (A1, A2, A3) of the tenth aspect according to the above-described embodiment, in the ninth aspect, the communication unit (32) analyzes when requested by the terminal (8). It is preferable to transmit the processing result to the terminal (8).

The above-mentioned biometric information management system (A1, A2, A3) can realize a person (H0) watching service.

It is preferable that the biological information management system (A2) of the eleventh aspect according to the above-described embodiment further includes an audio device (4) in any one of the first to tenth aspects. The sound device (4) is a sound that relaxes a person (H0) when at least one biosensor (1, 2) detects biological information and the identification unit (311) cannot identify the person (H0). To a person (H0).

The biometric information management system (A2) described above can stabilize the output of the biometric sensors (1, 2).

A1, A2, A3 Biometric information management system H0 people NT1 network 1 1st biometric sensor (biological sensor)
2 Second biosensor (biological sensor)
311 Identification unit 312 Bio-information processing unit 313 Analysis unit 32 Communication unit 4 Audio device 8 External terminal (terminal)

Claims (11)

With at least one biosensor that detects the person's biometric information by directly or indirectly contacting the person,
A biological information management system including an identification unit that identifies the person based on the biological information. The biometric information management system according to claim 1, further comprising a biometric information processing unit that links the biometric information to the identification result of the identification unit. The at least one biosensor is a plurality of biosensors including a first biosensor that detects the first biometric information as the biometric information and a second biosensor that detects the second biometric information as the biometric information.
The first biosensor detects at least one of the person's heartbeat, respiration, pulse, and blood flow as the first biometric information.
The biometric information management system according to claim 2, wherein the second biometric sensor detects the weight of the person as the second biometric information. The biometric information management system according to claim 3, wherein the identification unit identifies the person based on the body weight and at least one of the heartbeat, the respiration, the pulse, and the blood flow. Claims 2 to 2 to further include an analysis unit that performs an analysis process that analyzes at least one of the physical and mental states of the person based on the biological information, and links the result of the analysis process to the identification result of the identification unit. Any one of the 4 biometric information management systems. An analysis process is performed to analyze at least one of the physical and mental states of the person based on at least one of the body weight, the heartbeat, the respiration, the pulse, and the blood flow, and the result of the analysis process is obtained. The biometric information management system according to claim 4, further comprising an analysis unit associated with the identification result of the identification unit. The biological information management system according to claim 6, wherein the analysis unit performs the analysis process based on the fluctuation of the body weight. The biometric information management system according to any one of claims 5 to 7, wherein the result of the analysis process includes at least one of information acquired from a server on the network, information indicating the knowledge of a doctor, or information of a medical institution. The biometric information management system according to any one of claims 5 to 8, further comprising a communication unit that transmits the result of the analysis process to a terminal. The biometric information management system according to claim 9, wherein the communication unit transmits the result of the analysis process to the terminal when requested by the terminal. Claims 1 to 10 further include an acoustic device that emits a sound that relaxes the person when the at least one biosensor detects the bioinformation and the identification unit cannot identify the person. Any one of the biometric information management systems.

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