WO2022196799A1 - Dispositif de traitement d'informations, programme et procédé de traitement d'informations - Google Patents

Dispositif de traitement d'informations, programme et procédé de traitement d'informations Download PDF

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Publication number
WO2022196799A1
WO2022196799A1 PCT/JP2022/012671 JP2022012671W WO2022196799A1 WO 2022196799 A1 WO2022196799 A1 WO 2022196799A1 JP 2022012671 W JP2022012671 W JP 2022012671W WO 2022196799 A1 WO2022196799 A1 WO 2022196799A1
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vital data
data
time
type
subject
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PCT/JP2022/012671
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English (en)
Japanese (ja)
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洋平 金澤
義人 角田
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株式会社ファーストスクリーニング
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Priority to JP2022580194A priority Critical patent/JP7319745B2/ja
Publication of WO2022196799A1 publication Critical patent/WO2022196799A1/fr

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data

Definitions

  • the present invention provides a technology that uses the subject's vital data to assist the subject's health management.
  • Patent Literature 1 describes a technique for displaying skin temperature data or blood circulation data obtained from a photograph of a face in parallel with other parameters such as the amplitude of ⁇ waves.
  • Patent Document 1 What is displayed in Patent Document 1 is a specialized parameter such as the amplitude of the ⁇ wave, which is difficult for general users without specialized knowledge to understand.
  • the present invention provides a technique for outputting non-vital data corresponding to feature points in time-series changes in vital data.
  • the present invention comprises a first acquiring means for acquiring time-series vital data of a subject, a second acquiring means for acquiring a plurality of non-vital data relating to the subject, and the time-series vital data among the plurality of non-vital data. and display means for displaying non-vital data corresponding to the time indicating the feature point in the time change of the information processing apparatus.
  • the display means displays a graph of temporal changes in vital data indicated by the time-series vital data, and has acceptance means for accepting specification of the characteristic points on the graph, and the display means is the acceptance means. may display the data corresponding to the time indicating the feature point when the has received the designation.
  • the non-vital data corresponding to the time indicating the characteristic point is non-vital data generated in a time period including the time indicating the characteristic point
  • the time-series vital data includes first type data and second type data and the length of the time zone in the case where the feature point is specified for the first type of time-series vital data and the case where the feature point is specified for the second type of time-series vital data may differ.
  • the time-series vital data includes first type data and second type data
  • the non-vital data includes third type data and fourth type data
  • the first type time-series vital data When the feature point is specified for the above, the display means displays the third type of non-vital data, and when the feature point is specified for the second type of time-series vital data, the display means displays The fourth type of non-vital data may be displayed.
  • the non-vital data includes first type data and second type data
  • the feature points include first type feature points and second type feature points
  • the first type feature points are designated
  • the display means displays the first type of non-vital data
  • the display means displays the second type of non-vital data.
  • the non-vital data may include data indicating at least one of meals taken by the subject, exercise performed by the subject, and schedule of the subject.
  • the present invention provides a computer with a step of acquiring time-series vital data of a subject, a step of acquiring a plurality of non-vital data about the subject, and among the plurality of non-vital data, the time-series vital data. a step of displaying non-vital data corresponding to time indicating feature points in time change.
  • the present invention includes a step of acquiring time-series vital data of a subject, a step of acquiring a plurality of non-vital data about the subject, and among the plurality of non-vital data, the time-series vital data in time change and displaying non-vital data corresponding to the time indicating the characteristic point.
  • FIG. 3 is a diagram illustrating a functional configuration of a user terminal 30;
  • FIG. 3 is a diagram illustrating a hardware configuration of a user terminal 30;
  • FIG. 4 is a diagram illustrating the functional configuration of an analysis system 40;
  • FIG. 4 is a diagram illustrating the hardware configuration of an analysis system 40;
  • FIG. 4 is a diagram illustrating an overview of the operation of the health assistance system 1;
  • FIG. 4 is a view showing an example of a screen displayed on the UI unit 37;
  • FIG. 4 is a diagram illustrating a screen displayed on the UI unit 37;
  • FIG. 4 is a view showing an example of a screen displayed on the UI unit 37;
  • FIG. 4 is a view showing an example of a screen displayed on the UI unit 37;
  • FIG. 4 is a view showing an example of a screen displayed on the UI unit 37;
  • FIG. 1 is a diagram showing an overview of a health assistance system 1 according to the first embodiment.
  • the health assistance system 1 is a system that acquires vital data of a subject and provides information for health assistance to the subject using the acquired vital data.
  • Subjects as used herein, are animals, including humans, pets, and livestock.
  • Vital data is information about a subject's vital signs (information indicating that the subject is alive) obtained from the subject.
  • the subject here may be a human or an animal.
  • Vital data are, for example, data indicating body temperature, heart rate, respiration, pulse rate, blood pressure, presence or absence of consciousness, and detection results of specific components in urine of the subject.
  • data indicating the detection results of specific components in the subject's urine is used as vital data.
  • a specific component in the subject's urine is detected by a urine sensor (not shown) that detects the specific component in urine.
  • a sensor element for detecting a specific component in urine for example, a biosensor using an enzyme or a sensor using a diamond electrode is used.
  • the health assistance system 1 has a user terminal 30 and an analysis system 40.
  • the user terminal 30 acquires vital data of the subject, acquires non-vital data regarding the subject, and displays information regarding the health of the subject.
  • Non-vital data is information other than information about a subject's vital signs.
  • the non-vital data includes, for example, at least one of data including information on food and drink ingested by the subject, data including information on exercise performed by the subject, and data indicating the schedule of the subject.
  • the food-related information is, for example, information specifying the time when the food was taken, the name of the food taken, and the amount of the food taken, or a picture of the food.
  • the information about exercise is, for example, information about the exercise performed by the subject, for example, information specifying the intensity and duration of the exercise.
  • the analysis system 40 analyzes the subject's vital data and transmits information according to the analysis results to the user terminal 30.
  • the health assistance system 1 may have a plurality of user terminals 30 .
  • FIG. 2 is a diagram illustrating the functional configuration of the user terminal 30. As shown in FIG.
  • the user terminal 30 displays information obtained by analyzing vital data.
  • the user terminal 30 is carried by a subject or a user such as an owner of a pet that is the subject.
  • the user terminal 30 has a storage unit 31, a wireless communication unit 32, an acquisition unit 34, a communication unit 35, a control unit 36, and a UI unit 37.
  • the storage unit 31 stores various data. Data stored in the storage unit 31 includes an identifier that identifies the user of the user terminal 30 (hereinafter referred to as “user identifier”).
  • the wireless communication unit 32 receives wireless signals from other devices.
  • the wireless communication unit 32 complies with the same communication standard (for example, Bluetooth (registered trademark)) as the wireless communication unit 24 of the transmitter 20 .
  • Acquisition unit 34 (an example of first acquisition means, second acquisition means, and reception means) acquires time-series vital data of a subject from analysis system 40, and obtains information according to the results of analysis using vital data. get.
  • the information according to the analysis result may be information indicating the analysis result of the vital data itself, or may be information obtained using the analysis result.
  • the acquisition unit 34 acquires a plurality of non-vital data regarding the subject.
  • Non-vital data is generated by the user terminal 30 .
  • the user terminal 30 adds a time stamp to the non-vital data.
  • a photograph of food is used as non-vital data
  • the user takes a photograph of the food with the camera 309 when eating.
  • a time stamp is given to this photograph, and the time when the food or drink is taken is obtained from the time stamp.
  • the communication unit 35 communicates according to a predetermined communication standard.
  • the communication standard that the communication unit 35 complies with is different from the communication standard that the wireless communication unit 32 complies with, and an example is a mobile communication standard such as LTE (Long Term Evolution) or a wireless LAN standard such as Wi-Fi.
  • a control unit 36 controls other elements of the user terminal 30 .
  • the UI unit 37 (an example of display means) provides a UI for the user of the user terminal 30.
  • the UI unit 37 functions as a receiving unit (or an input unit) that receives instructions or input of information from the user, and as an output unit that outputs various types of information to the user.
  • the output unit includes a display unit that visually outputs various information.
  • FIG. 3 is a diagram illustrating the hardware configuration of the user terminal 30.
  • the user terminal 30 is a computer device such as a smart phone having a CPU 301, a memory 302, a storage 303, an LTE chip 304, a WiFi chip 305, an antenna 306, a touch screen 307, a speaker 308, and a camera 309.
  • the CPU 301 is a device that performs various calculations according to programs and controls other hardware elements.
  • a memory 302 is a main storage device that stores various data.
  • the storage 303 is an auxiliary storage device that stores various data and programs.
  • the LTE chip 304 is a chipset for communicating according to the LTE standard.
  • WiFi chip 305 is a chipset for communicating according to the WiFi standard.
  • An antenna 306 is an antenna for the LTE chip 304 and the WiFi chip 305 to transmit and receive radio waves.
  • the touch screen 307 is an input/output device having a display for displaying information and a touch sensor provided on the screen of the display device.
  • a speaker 308 is an output device that outputs sound.
  • a camera 309 is a photographing device that photographs an image and outputs photographed image data.
  • the storage 303 stores a program (hereinafter referred to as "client program") for causing the computer device to function as the user terminal 30.
  • client program a program for causing the computer device to function as the user terminal 30.
  • the functions shown in FIG. 2 are implemented in the computer by the CPU 301 executing the client program.
  • the memory 302 and storage 303 are an example of the storage unit 31 while the CPU 301 is executing the client program.
  • WiFi chip 305 and antenna 306 are examples of wireless communication unit 32 .
  • the CPU 301 is an example of the acquisition unit 34 and the control unit 36 .
  • the LTE chip 304 and antenna 306 are examples of the communication unit 35 .
  • FIG. 4 is a diagram illustrating the functional configuration of the analysis system 40.
  • the analysis system 40 uses the vital data output from the user terminal 30 to analyze the health condition of the user.
  • the analysis system 40 may be implemented in a device physically separate from the user terminal 30 (for example, a so-called cloud), or may be implemented in the same device as the user terminal 30 .
  • a cloud for example, the effect that the load on the user terminal 30 can be reduced and the effect that the vital data regarding a plurality of users can be statistically processed are achieved.
  • the user terminal 30 can be used stand-alone and the privacy of vital data can be maintained.
  • an example in which the analysis system 40 is implemented in the cloud is used.
  • the analysis system 40 has a communication unit 41, a storage unit 42, an analysis unit 43, an output unit 45, and a control unit 46.
  • the communication unit 41 communicates with the user terminal 30 .
  • the storage unit 42 stores various data.
  • the data stored in the storage unit 42 includes data (hereinafter referred to as “time-series vital data”) in which detection results (vital data) of specific components in urine are recorded in time series.
  • the storage unit 42 stores this time-series vital data for each of a plurality of users.
  • the analysis unit 43 analyzes the user's health condition using the time-series vital data.
  • the analysis of health status is performed according to a predetermined algorithm.
  • AI Artificial Intelligence
  • deep learning may be used to analyze the health condition.
  • the output unit 45 outputs data (hereinafter referred to as "related information data") indicating information (hereinafter referred to as "related information”) related to the analysis result of the analysis unit 43 to the user terminal 30.
  • Related information includes, for example, information that directly indicates the analysis results (for example, information that visualizes time-series vital data as a graph), information on time that indicates characteristic points in time-series changes in the time-series vital data, and interpretation of the analysis results. (for example, information presenting a disease name inferred from time-series vital data).
  • a feature point is a characteristic point in time-series vital data.
  • a feature point is, for example, a peak value, an inflection point, or a minimum value on the graph.
  • a peak value, an inflection point, and a minimum value are examples of the first type feature point and the second type feature point.
  • the control unit 46 performs various controls.
  • FIG. 5 is a diagram illustrating the hardware configuration of the analysis system 40.
  • the analysis system 40 is a computer device having a CPU 401, a memory 402, a storage 403, and a NIC (Network Interface Controller) 404, such as a server device on the Internet.
  • the CPU 401 is a device that performs various calculations according to programs and controls other hardware elements.
  • a memory 402 is a main storage device that stores various data.
  • the storage 403 is an auxiliary storage device that stores various data and programs.
  • the NIC 404 is a device for performing communication according to a predetermined communication standard (eg Ethernet).
  • the storage 403 stores a program (hereinafter referred to as "analysis program") for causing the computer device to function as the analysis system 40.
  • the NIC 404 is an example of the communication unit 41 while the CPU 401 is executing the analysis program.
  • the memory 402 and storage 403 are examples of the storage unit 42 .
  • the CPU 401 is an example of the analysis unit 43 , the output unit 45 and the control unit 46 .
  • FIG. 6 is a diagram illustrating an outline of the operation of the health assistance system 1.
  • the health assistance system 1 measures the user's vitals.
  • the health assistance system 1 acquires non-vital data.
  • the health assistance system 1 analyzes the vital data.
  • the health assistance system 1 provides the user with information according to the analysis result of the vital data.
  • an application corresponding to the health assistance system 1 hereinafter referred to as a “health assistance application” is pre-installed in the user terminal 30 .
  • a specific component in the urine of a subject is detected as vital data.
  • a specific component in the urine of the subject is detected by the urine sensor, and vital data indicating the detected measurement value is output to the analysis system 40 .
  • specific components for example, pH, uric acid level, oxalic acid level, and urinary sugar level are detected.
  • Attribute data is added to the vital data.
  • the attribute data is data indicating attributes of the measured value, and in this example, includes a time stamp indicating the measurement time and a user identifier identifying the user who was the target of the measurement.
  • the storage unit 31 stores vital data indicating converged measurement values.
  • the urine sensor used in this case may be a device that communicates with the user terminal 30, or may be provided in a terminal that has a function of communicating with the analysis system 40.
  • Non-vital data is managed by an application different from the health assistance application. For example, consider a case where photographs of food are used as non-vital data. This photograph is taken by the camera application and is saved in a predetermined folder as image data. This photograph is managed by an application that manages image data, and can be viewed by an image viewer application. When the subject eats a meal, the user terminal 30 takes a picture of the food. These photo data are stored in the storage unit of the user terminal 30 together with other photo data (photo data other than food).
  • Exercise data is data that indicates the details of exercise, such as jogging for 30 minutes or playing tennis for 1 hour.
  • Exercise data is generated by, for example, a pedometer application that measures the number of steps or a jogging application that records jogging.
  • Schedule data is data that indicates the user's schedule or an event that the user participates in.
  • Schedule data is generated by a schedule application that manages the user's schedule.
  • FIG. 7 is a sequence chart illustrating the details of the vital data analysis process.
  • the communication unit 41 of the analysis system 40 receives vital data from the user terminal 30 (or another terminal).
  • the storage unit 42 stores vital data and attribute data.
  • the attribute data includes a time stamp and a user identifier. Therefore, when vital data at a plurality of measurement timings are accumulated, the storage unit 42 can be said to store the vital data in chronological order.
  • the analysis unit 43 detects an event that triggers analysis of the health condition of a certain user.
  • This event includes processing in which the analysis system 40 receives an identifier that identifies a subject whose health status is to be analyzed (hereinafter referred to as "subject subject").
  • This event is, for example, an event in which the user instructs the analysis of the health condition at the user terminal 30 (or the analysis system 40 is notified of this instruction).
  • this event may be an event that new vital data is received from the user terminal 30 .
  • this event is an event that a predetermined time has passed since the previous analysis of the health condition of the target user. If an event triggering analysis of the health condition is detected, the analysis unit 43 shifts the process to step S204.
  • step S204 the analysis unit 43 analyzes the time-series vital data of the target subject identified by the user identifier, and generates related information data.
  • the time-series vital data to be analyzed includes multiple types of data.
  • the analysis unit 43 identifies feature points in the temporal change of the time-series vital data.
  • the output unit 45 of the information provision analysis system 40 outputs the relevant information data generated by the analysis unit 43 to the user terminal 30 of the subject subject.
  • the acquisition unit 34 of the user terminal 30 acquires related information data from the analysis system 40 .
  • the UI unit 37 provides related information data to the user.
  • FIG. 8 is a diagram exemplifying a screen displayed on the UI unit 37.
  • the UI unit 37 displays a graph g21 of time-series vital data.
  • a graph g21 is a graph of temporal changes in vital data indicated by time-series vital data.
  • the user terminal 30 accepts designation of feature points in the graph g21 according to the information output from the UI unit 37.
  • FIG. The user terminal 30 displays the data corresponding to the time indicating the feature point on the UI unit 37 when the designation by the user is received.
  • FIG. 9 is a diagram exemplifying a screen displayed on the UI unit 37.
  • FIG. The example of FIG. 9 illustrates a screen G12 displayed when the feature point P21 displayed on the screen illustrated in FIG. 8 is selected by the user.
  • the screen G12 displays a photo I21 of food indicated by the non-vital data corresponding to the time indicating the feature point P21, and information (calories, nutrients, etc.) I22 indicating the result of analysis of the photo of the food by AI. .
  • the identification processing of non-vital data corresponding to feature points is performed, for example, as follows.
  • the user sets in advance which type of non-vital data (pictures of meals, exercise, or schedule) is to be displayed. For example, consider a case where the user sets to display a photograph of a meal as non-vital data.
  • a feature point for example, P21 in FIG. 8
  • the health assistance application requests the API provided by the OS or the image viewer application to output food photos in a certain time range. do.
  • This time range is, for example, the time span from the previous plot of the touched feature point to the feature point in the graph display.
  • the health assistance application selects between 8:00 and 10:00 Request a photo from the time closest to the time.
  • the API of the OS or application extracts the requested image from the storage unit 31 and outputs it.
  • the type of non-vital data to be retrieved may be automatically determined according to the vital data instead of being set by the user. For example, a photograph of a meal may be retrieved when a feature point on a urine sugar level graph is touched, and a schedule may be retrieved when a feature point on a urine pH graph is touched.
  • the type of non-vital data to be retrieved may be automatically determined according to the vital data instead of being set by the user. For example, when a peak is touched on a urine sugar level graph, a photograph of a meal may be retrieved, and when a minimum value is touched, an exercise record may be retrieved.
  • the UI unit 37 displays the non-vital data corresponding to the time indicating the characteristic point in the temporal change of the time-series vital data among the plurality of non-vital data regarding the target subject.
  • FIG. 10 and 11 are diagrams exemplifying other screens displayed on the UI section 37.
  • FIG. 10 a graph g32 of temporal changes in vital data indicated by a different type of time-series vital data from the time-series vital data illustrated in FIG. 8 is displayed.
  • a screen G22 illustrated in FIG. 11 is displayed.
  • the non-vital data corresponding to the feature point P21 an image representing meal photo data generated during a time period including the time indicating the feature point P21 is displayed.
  • the content represented by the exercise data generated in the time period including the time indicating the feature point P32 is displayed.
  • the length of the time period in which the non-vital data to be displayed is generated differs.
  • non-vital data displayed when feature points are specified for vital data of protein and when feature points are specified for vital data of urine sugar level The length of the time period of the data is different.
  • the user terminal 30 when a feature point is specified for the first type of time-series vital data, the user terminal 30 displays the third type of non-vital data, and displays the feature point for the second type of time-series vital data. If a point is specified, display the fourth type of non-vital data.
  • the user terminal 30 when feature points are specified for protein vital data, the user terminal 30 displays non-vital data representing a photograph of a meal on the UI section 37 .
  • the user terminal 30 when a feature point is specified for the vital data of urine sugar level, the user terminal 30 displays information represented by the exercise data on the UI section 37 .
  • non-vital data corresponding to feature points based on chronological changes in vital data are output. This makes it easy for general users who do not have specialized knowledge to comprehend chronological changes in vital data and the content of non-vital data related thereto.
  • Modification 1 (vital data)
  • data indicating the detection result of a specific component in urine of a subject was used as vital data.
  • Vital data are not limited to those shown in the above embodiments.
  • body temperature, heart rate, respiration, pulse rate, blood pressure, weight, height, presence or absence of consciousness, etc. of a subject may be used as vital data.
  • the measurement target is not limited to urine.
  • the health assistance system according to the present invention may measure bodily fluids other than urine, such as sweat, saliva, or blood.
  • the user terminal 30 may change the type of non-vital data to be displayed according to the type of feature point designated by the user. That is, the user terminal 30 displays the first type of non-vital data when the first type of feature point is specified, and displays the second type of non-vital data when the second type of feature point is specified. may be displayed. Specifically, for example, the user terminal 30 displays data indicating meals taken by the subject when a peak value is specified, and displays data indicating exercise when an inflection point is specified.
  • the transmitter 20 may encrypt the vital data when transmitting the vital data to the user terminal 30 .
  • the transmitter 20 and the user terminal 30 exchange encryption keys prior to transmission and reception of vital data.
  • user terminal 30 transmits the encryption key to transmitter 20 .
  • the transmitter 20 encrypts the vital data using this encryption key and then transmits the vital data to the user terminal 30 .
  • the user terminal 30 decrypts the vital data using the encryption key sent to the transmitter 20 and the corresponding decryption key. Since vital data can be said to be a kind of personal information, there is a security risk if it is sent in plaintext, but encryption can reduce the security risk.
  • a provider of urine sensor 10 may combine different types of sensor elements 12 in providing urine sensor 10 having multiple sensor elements 12 .
  • sensor elements 12A-D measure pH, uric acid, oxalic acid, and urinary sugar.
  • sensor elements 12A-D may measure specific gravity, occult blood, ketone bodies, and nitrite.
  • a provider of the urine sensor 10 assigns an identification code to a combination of sensor elements 12 (combination of measurement items).
  • This identification code is, for example, a character string (such as an identification number) or an image (such as a so-called two-dimensional bar code).
  • This identification code is described, for example, on the surface of the substrate 11 or on the package of the urine sensor 10 .
  • the user inputs, for example, an identification code written on the substrate 11 or the package into the user terminal 30 .
  • the user terminal 30 has information (for example, obtained from the analysis system 40) that converts the identification code into a combination of measurement items, and refers to this information to determine which sensor element 12 outputs which measurement item. It is judged whether the result of According to this example, it is possible to provide the urine sensor 10 having various combinations of measurement items.
  • Modified Example 5 The sharing of processing in each device is not limited to that described in the embodiment.
  • the analysis system 40 may perform at least part of the processing performed in the user terminal 30 in the embodiment.
  • the control unit 46 of the analysis system 40 generates time-series vital data using the time-series vital data stored in the storage unit 42, analyzes the generated time-series vital data, Identify feature points in the time change of vital data.
  • the user terminal 30 may perform at least part of the processing performed in the analysis system 40 in the embodiment.
  • the storage unit 31 of the user terminal 30 may store vital data in chronological order.
  • the control unit 36 uses the time-series vital data stored in the storage unit 31 to generate time-series vital data, or the control unit 36 performs some statistical processing on the time-series vital data to obtain statistical data. Generate processed vital data.
  • the user terminal 30 outputs the generated data to the analysis system 40 .
  • the storage unit 31 of the user terminal 30 may store the same data as that output to the analysis system 40.
  • the analysis system 40 is implemented in a so-called cloud, if vital data is stored in the storage unit 31, some processing such as confirmation of vital data and/or statistical processing can be performed locally (connected to a network). without).
  • each element that constitutes the health assistance system according to the above embodiment is not limited to the one illustrated in the embodiment. Each element may have any hardware configuration.

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

Le problème à résoudre par la présente invention est de fournir un système de gestion de santé qui peut être utilisé de manière intuitive par des utilisateurs généraux. La solution selon l'invention porte sur un dispositif de traitement d'informations qui comprend : un premier moyen d'acquisition pour acquérir des données vitales de série chronologique d'un sujet; un second moyen d'acquisition pour acquérir une pluralité d'éléments de données non vitales associés au sujet; et un moyen d'affichage pour afficher, parmi la pluralité d'éléments de données non vitales, un élément de données non vitales correspondant à un moment auquel un point caractéristique dans des changements temporels des données vitales chronologiques est indiqué.
PCT/JP2022/012671 2021-03-18 2022-03-18 Dispositif de traitement d'informations, programme et procédé de traitement d'informations WO2022196799A1 (fr)

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JP2019028625A (ja) * 2017-07-27 2019-02-21 織田　聡 情報処理装置、情報処理方法、及びプログラム
JP2020119324A (ja) * 2019-01-24 2020-08-06 キヤノンメディカルシステムズ株式会社 医用情報表示装置

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EP3363348A4 (fr) * 2015-10-15 2019-05-15 Daikin Industries, Ltd. Dispositif de détermination d'état physiologique et procédé de détermination d'état physiologique

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019028625A (ja) * 2017-07-27 2019-02-21 織田　聡 情報処理装置、情報処理方法、及びプログラム
JP2020119324A (ja) * 2019-01-24 2020-08-06 キヤノンメディカルシステムズ株式会社 医用情報表示装置

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