WO2021083136A1 - Procédé et appareil d'analyse de données de caractéristique physiologique dans l'état de posture assise - Google Patents

Procédé et appareil d'analyse de données de caractéristique physiologique dans l'état de posture assise Download PDF

Info

Publication number
WO2021083136A1
WO2021083136A1 PCT/CN2020/123941 CN2020123941W WO2021083136A1 WO 2021083136 A1 WO2021083136 A1 WO 2021083136A1 CN 2020123941 W CN2020123941 W CN 2020123941W WO 2021083136 A1 WO2021083136 A1 WO 2021083136A1
Authority
WO
WIPO (PCT)
Prior art keywords
data
server
user
analysis
vital sign
Prior art date
Application number
PCT/CN2020/123941
Other languages
English (en)
Chinese (zh)
Inventor
杜磊
王晋平
崔子琦
Original Assignee
北京大众益康科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 北京大众益康科技有限公司 filed Critical 北京大众益康科技有限公司
Publication of WO2021083136A1 publication Critical patent/WO2021083136A1/fr

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116—Determining posture transitions
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/1036—Measuring load distribution, e.g. podologic studies
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms

Definitions

  • This application relates to the technical field of data analysis, and in particular to a method and device for analyzing physiological characteristic data in a sitting state.
  • the present application provides a method and device for analyzing physiological characteristic data in a sitting state, so as to improve the technical problem of not being able to consult a doctor in time and perform treatment.
  • an embodiment of the present application provides a method for analyzing physiological characteristic data in a sitting state, and the method includes the following steps:
  • an early warning is given to the mobile device through the server.
  • the embodiments of the present application provide a possible implementation of the first aspect, in which, when the user is in a sitting state, the pressure data of the user is detected by the sensor;
  • the detected pressure data is transmitted to the server for analysis and storage, and the weight sign data returned by the server analysis is transmitted to the mobile device for display.
  • an embodiment of the present application provides another possible implementation manner of the first aspect, wherein the method further includes:
  • the vibration data and the pressure data of the same user at different time points are detected by the sensor, transmitted to the server for analysis and storage, and the vital sign data and the vital sign data returned by the server are analyzed and stored.
  • the weight sign data is transmitted to a mobile device for display, and the vital sign data and changes in the weight sign data of the same user at the different time points are obtained.
  • an embodiment of the present application provides another possible implementation manner of the first aspect, wherein the method further includes:
  • Detect the vibration data and pressure data of different users through the sensor transmit to the server for analysis and storage, and transmit the vital sign data and the weight sign data returned by the server analysis Display on a mobile device, obtain the vital sign data and the weight sign data of the different users, and use them to distinguish the different users.
  • an embodiment of the present application provides another possible implementation manner of the first aspect, where the sensor includes a piezoresistive sensor and a piezoelectric sensor;
  • the vibration data is detected by the piezoelectric sensor, and the vital sign data of the user is acquired.
  • an embodiment of the present application provides another possible implementation manner of the first aspect, wherein the vital sign data includes strong vibration data and weak vibration data, wherein the strong vibration data
  • the vibration data includes the body movement data
  • the weak vibration data includes the heart rate data and the respiration data
  • the step of detecting the vibration data by the piezoelectric sensor and acquiring the vital sign data of the user includes:
  • the vibration data of the user When the intensity of the vibration data of the user is higher than the preset vibration threshold, the user is in a strong vibration state, the vibration data is detected by the piezoelectric sensor, and the vital sign data is acquired The said body movement data;
  • the vibration data of the user When the intensity of the vibration data of the user is lower than the preset vibration threshold, the user is in a weak vibration state, the vibration data is detected by the piezoelectric sensor, and the vital sign data is acquired Of the heart rate data and the breathing data.
  • the embodiments of the present application provide another possible implementation manner of the first aspect, wherein the detected vibration data is transmitted to a server for analysis and storage, and the server analyzes
  • the steps for transmitting the returned vital signs data to the mobile device for display include:
  • the vibration data collected by the data collection module is transmitted to the server for analysis and storage, and the vital sign data returned by the server analysis is transmitted to the mobile device for display.
  • the embodiments of the present application provide another possible implementation manner of the first aspect, wherein, when the vital sign data exceeds a preset early warning threshold, pass
  • the step of the server giving an early warning to the mobile device includes:
  • the vital sign data shows that the body movement data exceeds a preset body movement data warning threshold, the body movement data is abnormal, and an early warning is given to the mobile device through the server;
  • the vital sign data shows that the heart rate data and/or the respiration data exceed the preset heart rate data and/or the respiration data warning threshold
  • the heart rate data and/or the respiration data is abnormal, Early warning is given to the mobile device through the server.
  • an embodiment of the present application provides another possible implementation manner of the first aspect, and the method further includes:
  • the sitting position time length is transmitted to the server for analysis and storage, and the sitting position time length analysis result returned by the server analysis is transmitted to the mobile device for display.
  • an embodiment of the present application provides another possible implementation manner of the first aspect, and the method further includes:
  • the ECG signal data is transmitted to the server for analysis and storage, and the ECG signal analysis result returned by the server analysis is transmitted to the mobile device for display.
  • an embodiment of the present application provides another possible implementation manner of the first aspect, and the electrode includes a dry electrode and/or a wet electrode.
  • the embodiments of the present application provide another possible implementation manner of the first aspect. If the electrode includes the dry electrode and the wet electrode, the The step of sending the ECG signal data to the server for analysis includes:
  • the ECG signal data collected by the wet electrode is sent to the server for analysis.
  • an embodiment of the present application provides another possible implementation manner of the first aspect, and the method further includes:
  • the detected body temperature data is transmitted to the server for analysis and storage, and the body temperature data analysis result returned by the server analysis is transmitted to the mobile device for display.
  • an embodiment of the present application provides another possible implementation manner of the first aspect, and the sensor includes a piezoelectric sensor and a body temperature detection sensor;
  • the body temperature data is detected by the body temperature detection sensor, and the body temperature data of the user is acquired.
  • an embodiment of the present application provides another possible implementation manner of the first aspect, and the method further includes:
  • the detected environmental data is transmitted to the server for analysis and storage, and the environmental data analysis result returned by the server analysis is transmitted to the mobile device for display.
  • an embodiment of the present application provides another possible implementation manner of the first aspect, and the sensor includes a piezoelectric sensor and an environment detection sensor;
  • the environment data is detected by the environment detection sensor, and the environment data of the environment where the user is located is acquired.
  • an embodiment of the present application provides another possible implementation manner of the first aspect, and the method further includes:
  • the physical examination data is transmitted to the server for analysis and storage, and the physical examination data analysis result returned by the server analysis is transmitted to the mobile device for display.
  • an embodiment of the present application provides another possible implementation manner of the first aspect, and the method further includes:
  • an embodiment of the present application provides another possible implementation manner of the first aspect, and the method further includes:
  • the detection data is analyzed to obtain a second analysis result, and the second analysis result is displayed.
  • an embodiment of the present application also provides a physiological characteristic data analysis device in a sitting state, the device including:
  • the data detection module is configured to detect the vibration data of the user through the sensor when the user is in a sitting state
  • a vital sign data acquisition module configured to transmit the detected vibration data to a server for analysis and storage, and transmit the vital sign data analyzed and returned by the server to a mobile device;
  • the early warning module is configured to give an early warning to the mobile device through the server when the vital sign data exceeds a preset early warning threshold.
  • the embodiments of the present application provide a possible implementation manner of the second aspect, wherein the vital sign data acquisition module is configured as:
  • the vibration data collected by the data collection module is transmitted to the server for analysis and storage, and the vital sign data returned by the server analysis is transmitted to the mobile device for display.
  • an embodiment of the present application further provides an electronic device, the electronic device includes a memory, a processor, and a sensor, the memory stores a computer program, and the processor executes the computer program to implement the above The method described.
  • the embodiments of the present application also provide a computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is called and executed by a processor, the computer program causes the processor to Implement the method described above.
  • an embodiment of the present application also provides a smart furniture, including an electronic device that implements the method described above.
  • the embodiment of the present application provides a method and device for analyzing physiological characteristic data in a sitting state.
  • the vibration data of the user is detected by a sensor and The vibration data is transmitted to the server for analysis and storage, and the vital sign data returned by the server analysis is transmitted to the mobile device for display, and it is determined whether the vital sign data exceeds the pre-set early warning threshold, and when the vital sign data exceeds the The pre-set warning threshold is used to send an early warning to the mobile device through the server.
  • the physiological characteristic data analysis method and device in the sitting state of the embodiment of the present application can detect the user's vibration data when the user is in the sitting state, transmit it to the server for analysis and storage, obtain the vital sign data returned by the server analysis, and then When the vital sign data exceeds the pre-set early warning threshold, an early warning is given to achieve the technical effect of promptly reminding the user of abnormality and reminding the client to consult a doctor.
  • FIG. 1 is a flowchart of a method for analyzing physiological characteristic data in a sitting state according to an embodiment of the application
  • FIG. 2 is a flowchart of another method for analyzing physiological characteristic data in a sitting state according to an embodiment of the application
  • FIG. 3 is a structural block diagram of a physiological characteristic data analysis device in a sitting state according to an embodiment of the present application
  • FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of the application.
  • the embodiments of the present application provide a method and device for analyzing physiological characteristic data in a sitting state to alleviate the above-mentioned problems.
  • FIG. 1 is a flowchart of a method for analyzing physiological characteristic data in a sitting state according to an embodiment of the application, and the method includes the following steps:
  • Step S102 When the user is in a sitting state, the vibration data of the user is detected by the sensor.
  • Step S104 Transmit the detected vibration data to the server for analysis and storage, and transmit the vital sign data analyzed and returned by the server to the mobile device for display.
  • the vital signs data in addition to transmitting the vital signs data to the mobile device for display, when the physiological characteristic data analysis method of the embodiment of the present application is applied to objects such as toilets, sofas, chairs, beds, etc., the vital signs data can also be displayed on the Display equipment on objects such as toilets, sofas, chairs, and beds.
  • Step S106 When the vital sign data exceeds a preset early warning threshold, an early warning is given to the mobile device through the server.
  • the mobile device can also be replaced by a device with a display function, such as a computer or a screen, and the embodiment of the present application does not limit the specific type of the device with the display function.
  • the vital signs data returned from the server analysis can be for only one device, or it can be for multiple devices at the same time.
  • the embodiment of this application adopts a method for analyzing physiological characteristic data in a sitting state, which is a method that is performed in a no-load state, where no-load means that the measurement process is sensorless and does not require the user to change anything. Use habits and perform any operations.
  • the embodiments of the present application use a method for analyzing physiological characteristic data in a sitting state.
  • the vibration data of the user is detected by a sensor and the vibration data is transmitted To the server for analysis and storage, and transmit the vital sign data returned by the server analysis to the mobile device for display, and determine whether the vital sign data exceeds the pre-set early warning threshold, and when the vital sign data exceeds the pre-set
  • the server sends an early warning to the mobile device.
  • the physiological characteristic data analysis method and device in the sitting state of the embodiment of the present application can detect the user's vibration data when the user is in the sitting state, transmit it to the server for analysis and storage, obtain the vital sign data returned by the server analysis, and then When the vital sign data exceeds the pre-set early warning threshold, an early warning is given to achieve the technical effect of promptly reminding the user of abnormality and reminding the client to consult a doctor.
  • the method for analyzing physiological characteristic data in the sitting state can also detect the pressure data of the user in this state, and obtain the The user's weight and physical data, the specific steps are as follows:
  • the detected pressure data is transmitted to the server for analysis and storage, and the weight sign data returned by the server analysis is transmitted to the mobile device for display.
  • sensors installed on objects such as cushions, toilets, sofas, chairs, beds, etc. are used to detect the vibration data and pressure data of the user in a sitting state, which can be applied to
  • the above-mentioned objects may have other forms besides toilets, sofas, chairs, and beds, which are not limited in the embodiments of the present application.
  • the vibration data and pressure of the same user at different time points can be respectively targeted.
  • the data, as well as the vibration data and pressure data of different users are detected and analyzed, so as to obtain the vibration data and pressure data changes of the same user at different time points, and to distinguish different users.
  • the senor detects the vibration data and the pressure data of the same user at different time points, transmits them to the server for analysis and storage, and analyzes the vital sign data returned by the server And the weight sign data are transmitted to a mobile device for display, and the vital sign data and changes in the weight sign data of the same user at the different time points are acquired.
  • the vibration data and the pressure data of different users are detected by the sensor, transmitted to the server for analysis and storage, and the vital sign data and the weight returned by the server are analyzed
  • the physical sign data is transmitted to a mobile device for display, and the vital sign data and the weight sign data of the different users are obtained, and used to distinguish the different users.
  • the vibration data and pressure data of different users are usually detected, and the vital sign data and weight sign data of different users are obtained to distinguish different users.
  • the data detection is performed by different types of sensors.
  • the specific process is as follows:
  • the senor includes a piezoresistive sensor and a piezoelectric sensor
  • the vibration data is detected by the piezoelectric sensor, and the vital sign data of the user is acquired.
  • the above-mentioned sensor can be embedded in a seat cushion or a toilet seat of a toilet, or embedded in a chair, sofa, bed, etc., to detect the pressure data and vibration data of the user.
  • the vibration data of the user When the intensity of the vibration data of the user is higher than the preset vibration threshold, the user is in a strong vibration state, the vibration data is detected by the piezoelectric sensor, and the vital sign data is acquired The said body movement data;
  • the vibration data of the user When the intensity of the vibration data of the user is lower than the preset vibration threshold, the user is in a weak vibration state, the vibration data is detected by the piezoelectric sensor, and the vital sign data is acquired Of the heart rate data and the breathing data.
  • the method of the embodiments of the present application can also detect and analyze the user's sitting time for analysis.
  • the application embodiment does not limit this, and the sitting position time is the sum of the time the user is in the strong vibration state and the weak vibration state.
  • the vital sign data includes strong vibration data and weak vibration data, wherein the strong vibration data includes the body movement data, and the weak vibration data includes the heart rate data and the respiration data.
  • FIG. 2 A flowchart of a method for analyzing physiological characteristics data in a sitting state, the method includes the following steps:
  • Step S202 When the user is in a sitting state, the vibration data of the user is detected by the sensor.
  • Step S204 Collect the detected vibration data through the data collection module.
  • Step S206 The vibration data collected by the data collection module is transmitted to the server for analysis and storage, and the vital sign data returned by the server analysis is transmitted to the mobile device for display.
  • the vital sign data returned by the server analysis is wirelessly transmitted to the mobile device for display through WeChat applets, applications, etc., and it can also be fed back to the mobile device by sending text messages and making phone calls.
  • Step S208 When the vital sign data exceeds a preset early warning threshold, an early warning is given to the mobile device through the server.
  • the strong vibration data and weak vibration data included in the vital sign data corresponds to body movement data
  • the weak vibration data includes heart rate data and respiration data.
  • the vital sign data shows that the body movement data exceeds a preset body movement data warning threshold, the body movement data is abnormal, and an early warning is given to the mobile device through the server;
  • the vital sign data shows that the heart rate data and/or the respiration data exceed the preset heart rate data and/or the respiration data warning threshold
  • the heart rate data and/or the respiration data is abnormal, Early warning is given to the mobile device through the server.
  • the method for analyzing physiological characteristic data in the sitting state can also detect the ECG signal data of the user in this state.
  • the specific steps are as follows:
  • the ECG signal data is transmitted to the server for analysis and storage, and the ECG signal analysis result returned by the server analysis is transmitted to the mobile device for display.
  • the electrodes in the embodiments of the present application can be dry electrodes.
  • the dry electrodes of the ECG signal acquisition device can be installed on both ends of the armrests of objects with armrests such as sofas and chairs.
  • the left and right armrests can be separate With one electrode installed, the user touches two dry electrodes with both hands at the same time, and the ECG signal acquisition device can collect the user's ECG signal data through the dry electrodes.
  • the electrodes in the embodiments of the present application may also be wet electrodes, and the wet electrodes may be attached to the surface of the user's skin, and the ECG signal collection device can collect the user's ECG signal data through the wet electrodes.
  • the dry electrode and the wet electrode can exist alternatively or at the same time. If the dry electrode and the wet electrode exist at the same time, the ECG signal data collected from the user through the wet electrode will be sent to the server for analysis and storage. So that you can get more accurate analysis results.
  • the method for analyzing physiological characteristic data in the sitting state provided in the embodiments of the present application can also detect the body temperature data of the user in this state, and obtain the The user's body temperature data analysis results, the specific steps are as follows:
  • the detected body temperature data is transmitted to the server for analysis and storage, and the body temperature data analysis result returned by the server analysis is transmitted to the mobile device for display.
  • the above-mentioned process of detecting the user's vibration data and body temperature data through sensors is to perform data detection through different types of sensors.
  • the specific process is as follows:
  • the body temperature data is detected by the body temperature detection sensor, and the body temperature data of the user is acquired.
  • the body temperature detection sensor includes a high-precision body temperature detection probe, which can be placed on the user's armpit, body surface, oral cavity and other parts for temperature measurement, and then the body temperature detection sensor is combined with a chair, sofa, etc.
  • the communication connection for example, can be connected by a cable.
  • the physiological characteristic data analysis method in the sitting state provided in the embodiments of the present application can not only detect the vibration data of the user in the sitting state, but also detect the environmental data of the user in this state.
  • the specific steps are as follows:
  • the detected environmental data is transmitted to the server for analysis and storage, and the environmental data analysis result returned by the server analysis is transmitted to the mobile device for display.
  • the above-mentioned process of detecting the user's vibration data and environmental data through sensors is to perform data detection through different types of sensors.
  • the specific process is as follows:
  • the environment data is detected by the environment detection sensor, and the environment data of the environment where the user is located is acquired.
  • environmental detection sensors may include, but are not limited to, temperature sensors, humidity sensors, noise sensors, etc.
  • the temperature sensor can obtain the temperature data of the user's environment
  • the humidity sensor can obtain the humidity data of the user's environment.
  • the noise sensor Through the noise sensor, the noise data of the user's environment can be obtained.
  • the above-mentioned sensor can be embedded in a seat cushion or a toilet seat of a toilet, or embedded in a chair, sofa, bed, etc., to detect the environmental data of the user.
  • the physiological characteristic data analysis method in the sitting state can not only detect the vibration data of the user in the sitting state, but also receive the physical examination data from the external detection device to obtain the physical examination data of the user.
  • the analysis results, the specific steps are as follows:
  • the physical examination data is transmitted to the server for analysis and storage, and the physical examination data analysis result returned by the server analysis is transmitted to the mobile device for display.
  • the external detection equipment includes, but is not limited to, detection equipment such as blood oxygen, electrocardiogram, blood pressure, and brain electricity.
  • the external detection device can communicate with objects such as toilets, chairs, sofas, etc., that keep the user in a sitting state through interfaces such as Bluetooth and serial ports.
  • the physiological characteristic data analysis method in the sitting state provided in the embodiments of the present application can not only detect various data of the user in the sitting state and transmit it to the server for analysis, but also return the first data returned by the server.
  • the analysis results are displayed, and the specific steps are as follows:
  • the received detection data may be the above-mentioned vital sign data, weight sign data, the vibration data detected by the data collection module, the length of sitting posture, ECG signal data, body temperature data, environmental data,
  • the first analysis result data can be the result obtained after analyzing one or more of the test data, so that the analysis processing process can be more flexible, and the first analysis result can be more flexible. Accurate and more comprehensive.
  • the first analysis result can also be displayed on the mobile terminal.
  • the first analysis result is displayed on the display device of the server.
  • the physiological characteristic data analysis method in the sitting state provided in the embodiments of the present application can detect various data of the user in the sitting state and transmit it to the server for analysis, in order to avoid the situation that the network is not unblocked.
  • the detection data cannot be analyzed under the following conditions, but preliminary analysis of the detection data can be performed to obtain the second analysis result, and display the second analysis result.
  • the above-mentioned detection data may be the above-mentioned vital sign data, weight sign data, the vibration data detected by the data collection module, sitting time length, ECG signal data, body temperature data, environmental data, and physical examination data. One or more of them.
  • the first analysis result and the second analysis result can alternatively be displayed on the toilet, sofa, chair and other objects installed with the display device, or both can be displayed.
  • the second analysis result is only displayed on objects such as toilets, sofas, chairs, etc., where display devices are installed.
  • process of performing preliminary analysis on the detection data and the process of analyzing the detection data by the server may be the same or different, which is not limited in the embodiment of the present application.
  • the method for analyzing physiological characteristic data in a sitting state can not only detect various data of the user in the sitting state and transmit it to the server for analysis, but also Data docking with smart speakers, smart homes, lighting equipment, etc. through wireless communication (for example, Bluetooth, WIFI, etc.), in order to control smart speakers, smart homes, and lighting equipment.
  • wireless communication for example, Bluetooth, WIFI, etc.
  • a touch screen can also be installed on the object, and the seat posture, massage mode, massage intensity, and seat position can be realized through the touch screen.
  • Heating, sedentary reminder and other controls as another specific implementation, you can control the seat posture, massage mode, massage intensity, seat heating and other controls through buttons.
  • other control methods can also be adopted, such as automatic control, cloud remote control, etc. Control, mobile phone remote control, etc.
  • the physiological characteristic data analysis method in the sitting state of the present application when the user is in the sitting state, detects the user's vibration data through a sensor and transmits the vibration data to the server for analysis and storage, and the server analyzes
  • the returned vital sign data is transmitted to the mobile device for display, and it is determined whether the vital sign data exceeds the preset early warning threshold, and when the vital sign data exceeds the preset early warning threshold, an early warning is given to the mobile device through the server.
  • the physiological characteristic data analysis method and device in the sitting state of the embodiment of the present application can detect the user's vibration data when the user is in the sitting state, transmit it to the server for analysis and storage, obtain the vital sign data returned by the server analysis, and then When the vital sign data exceeds the pre-set early warning threshold, an early warning is given to achieve the technical effect of promptly reminding the user of abnormality and reminding the client to consult a doctor.
  • an embodiment of the present application also provides a physiological characteristic data analysis device in the sitting state, as shown in FIG. 3 of this application.
  • the embodiment provides a structural block diagram of a physiological characteristic data analysis device in a sitting state. As shown in Figure 3, the device includes:
  • the data detection module 301 is configured to detect the vibration data of the user through a sensor when the user is in a sitting state;
  • the vital sign data acquisition module 302 is configured to transmit the detected vibration data to a server for analysis and storage, and transmit the vital sign data analyzed and returned by the server to a mobile device for display;
  • the early warning module 303 is configured to provide an early warning to the mobile device through the server when the vital sign data exceeds a preset early warning threshold.
  • the vital sign data acquisition module 302 is configured to:
  • the vibration data collected by the data collection module is transmitted to the server for analysis and storage, and the vital sign data returned by the server analysis is transmitted to the mobile device for display.
  • FIG. 4 shows a schematic structural diagram of an electronic device provided by an embodiment of the present application.
  • the electronic device includes: The processor 400, the memory 401, the data bus 402, the communication interface 403 and the sensor 404, the processor 400, the memory 401, the communication interface 403 and the sensor 404 are connected by the data bus 402; the processor 400 is configured to execute the data stored in the memory 401 Execution modules, such as computer programs.
  • the memory 401 stores a computer program that can be executed by the processor 400, and the processor 400 executes the computer program to implement the method described above.
  • the memory 401 may include a high-speed random access memory (RAM, Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
  • RAM Random Access Memory
  • non-volatile memory such as at least one disk memory.
  • the communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 403 (which may be wired or wireless), and the Internet, a wide area network, a local network, a metropolitan area network, etc. may be used.
  • the data bus 402 may be an ISA data bus, a PCI data bus, an EISA data bus, or the like.
  • the data bus can be divided into address data bus, data data bus, control data bus and so on. For ease of presentation, only one bidirectional arrow is used to indicate in FIG. 4, but it does not mean that there is only one data bus or one type of data bus.
  • the memory 401 is configured to store a program, and the processor 400 executes the program after receiving the program execution instruction.
  • the physiological characteristic data analysis method in a sitting state disclosed in any of the foregoing embodiments of the present application can be applied to the processor 400, or implemented by the processor 400.
  • the sensor 404 includes, but is not limited to, at least one of a piezoresistive sensor, a piezoelectric sensor, a body temperature detection sensor, an environment detection sensor, and the like.
  • the processor 400 may be an integrated circuit chip with signal processing capabilities.
  • the steps of the foregoing method may be completed by an integrated logic circuit of hardware in the processor 400 or instructions in the form of software.
  • the above-mentioned processor 400 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP), etc.; it may also be a digital signal processor (Digital Signal Processing, DSP for short), etc. ), Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.
  • the methods, steps, and logical block diagrams disclosed in the embodiments of the present application can be implemented or executed.
  • the general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like.
  • the steps of the method disclosed in the embodiments of the present application can be directly embodied as being executed and completed by a hardware decoding processor, or executed and completed by a combination of hardware and software modules in the decoding processor.
  • the software module can be located in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, registers.
  • the storage medium is located in the memory 401, and the processor 400 reads the information in the memory 401, and completes the steps of the foregoing method in combination with its hardware.
  • an embodiment of the present application further provides a computer-readable storage medium, and the computer-readable storage medium stores a computer program.
  • the computer program When the computer program is called and executed by the processor, the computer program Prompt the processor to implement the method described above.
  • an embodiment of the present application also provides a smart furniture that includes the implementation of the sitting posture provided in the foregoing implementation manner.
  • the smart furniture may include, but is not limited to, furniture such as sofas, chairs, beds, toilets, etc., on which the user can maintain a sitting posture.
  • the physiological characteristic data analysis device in the sitting state provided by the embodiment of the present application has the same technical features as the physiological characteristic data analysis method in the sitting state provided in the above embodiment, so it can also solve the same technical problems and achieve the same technology. effect.
  • the computer program product of the physiological characteristic data analysis method and device in the sitting state includes a computer-readable storage medium storing program codes, and the instructions included in the program codes can be configured to execute the foregoing method embodiments
  • the instructions included in the program codes can be configured to execute the foregoing method embodiments
  • the smart furniture provided by the embodiment of the present application includes an electronic device that implements the physiological characteristic data analysis method in the sitting state provided in the above-mentioned implementation manner.
  • the physiological characteristic data analysis method in the sitting state provided in the above-mentioned implementation manner.
  • the terms “installed”, “connected”, and “connected” should be understood in a broad sense, for example, it may be a fixed connection or a detachable connection. , Or integrally connected; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the internal communication between two components.
  • installed should be understood in a broad sense, for example, it may be a fixed connection or a detachable connection. , Or integrally connected; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the internal communication between two components.
  • the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium.
  • the technical solution of the present application essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, ReaD-Only Memory), random access memory (RAM, RanDom Access Memory), magnetic disks or optical disks and other media that can store program codes. .
  • the vibration data of the user is detected by a sensor; the detected vibration data is transmitted to the server for analysis And storage, and transmit the vital sign data returned by the server analysis to the mobile device for display; when the vital sign data exceeds a pre-set warning threshold, the server sends an early warning to the mobile device to achieve Remind users of abnormalities in time, and remind customers to consult the technical effects of medical treatment.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Physiology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Physics & Mathematics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Cardiology (AREA)
  • Pulmonology (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

La présente invention concerne un procédé et un appareil d'analyse de données de caractéristique physiologique dans l'état de posture assise, qui concernent le domaine technique de l'analyse de données. Le procédé comprend : lorsqu'un utilisateur se trouve dans un état de posture assise, la détection de données de vibration de l'utilisateur à l'aide d'un capteur (S102) ; la transmission des données de vibration détectées à un serveur pour l'analyse et le stockage, et la transmission des données de signes vitaux analysées et renvoyées par le serveur à un dispositif portatif pour affichage (S104) ; et lorsque les données de signes vitaux excèdent un seuil de préalerte prédéfini, l'envoi d'une préalerte au dispositif portatif à l'aide du serveur (S106). Le procédé et l'appareil d'analyse de données de caractéristique physiologique dans l'état de posture assise peuvent détecter les données de vibration de l'utilisateur lorsque l'utilisateur se trouve dans l'état de posture assise, transmettre les données au serveur pour l'analyse et le stockage, acquérir les données de signes vitaux analysées et renvoyées par le serveur, et fournir une préalerte lorsque les données de signes vitaux excèdent le seuil de préalerte prédéfini pour atteindre les effets techniques de rappel à l'utilisateur d'une anomalie dans le temps et le rappel d'un client à consulter un médecin.
PCT/CN2020/123941 2019-10-29 2020-10-27 Procédé et appareil d'analyse de données de caractéristique physiologique dans l'état de posture assise WO2021083136A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201911048393.2A CN110755086A (zh) 2019-10-29 2019-10-29 一种坐姿状态下的生理特性数据分析方法及装置
CN201911048393.2 2019-10-29

Publications (1)

Publication Number Publication Date
WO2021083136A1 true WO2021083136A1 (fr) 2021-05-06

Family

ID=69334720

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2020/123941 WO2021083136A1 (fr) 2019-10-29 2020-10-27 Procédé et appareil d'analyse de données de caractéristique physiologique dans l'état de posture assise

Country Status (2)

Country Link
CN (1) CN110755086A (fr)
WO (1) WO2021083136A1 (fr)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110755086A (zh) * 2019-10-29 2020-02-07 北京大众益康科技有限公司 一种坐姿状态下的生理特性数据分析方法及装置
CN111746547A (zh) * 2020-06-15 2020-10-09 北京汽车集团越野车有限公司 车辆及其生理特征采集方法、显示终端

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203328699U (zh) * 2010-06-21 2013-12-11 爱信精机株式会社 活体信息检测系统
JP2015123160A (ja) * 2013-12-26 2015-07-06 株式会社 日立産業制御ソリューションズ バイタルデータ処理方法及びバイタルデータ測定装置
CN106793878A (zh) * 2014-09-30 2017-05-31 深圳市大耳马科技有限公司 姿态和生命体征监测系统及方法
CN107041730A (zh) * 2017-03-07 2017-08-15 杭州医电园科技有限公司 一种非接触式睡眠监测装置及其监测方法
CN107088057A (zh) * 2017-05-16 2017-08-25 深圳市云传智联技术有限公司 一种基于压电传感技术的生命特征监护椅带及系统
US10219749B2 (en) * 2015-08-07 2019-03-05 Korea Electronics Technology Institute Smart bed and user state monitoring system and user state monitoring method using the same
CN110192881A (zh) * 2019-06-06 2019-09-03 湖南云感科技有限公司 一种驾驶员生命体征监测警示方法
CN110755086A (zh) * 2019-10-29 2020-02-07 北京大众益康科技有限公司 一种坐姿状态下的生理特性数据分析方法及装置

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005007046A (ja) * 2003-06-20 2005-01-13 Matsushita Electric Ind Co Ltd 便座装置
CN105125134A (zh) * 2015-09-16 2015-12-09 苏州合欣美电子科技有限公司 一种基于物联网的体征监测马桶圈
US10424183B1 (en) * 2017-01-20 2019-09-24 Dp Technologies, Inc. Smart seating system
CN106923840A (zh) * 2017-04-10 2017-07-07 桂林电子科技大学 坐式生命体征检测装置及系统
US10034631B1 (en) * 2017-05-19 2018-07-31 Lear Corporation Vehicle seating system with seat occupant vital sign monitoring
CN107752991A (zh) * 2017-11-22 2018-03-06 曹洪乾 物联网人体生命体征监测系统
CN108309261B (zh) * 2018-02-11 2020-05-22 西安交通大学 一种猝死预警方法及装置和系统

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203328699U (zh) * 2010-06-21 2013-12-11 爱信精机株式会社 活体信息检测系统
JP2015123160A (ja) * 2013-12-26 2015-07-06 株式会社 日立産業制御ソリューションズ バイタルデータ処理方法及びバイタルデータ測定装置
CN106793878A (zh) * 2014-09-30 2017-05-31 深圳市大耳马科技有限公司 姿态和生命体征监测系统及方法
US10219749B2 (en) * 2015-08-07 2019-03-05 Korea Electronics Technology Institute Smart bed and user state monitoring system and user state monitoring method using the same
CN107041730A (zh) * 2017-03-07 2017-08-15 杭州医电园科技有限公司 一种非接触式睡眠监测装置及其监测方法
CN107088057A (zh) * 2017-05-16 2017-08-25 深圳市云传智联技术有限公司 一种基于压电传感技术的生命特征监护椅带及系统
CN110192881A (zh) * 2019-06-06 2019-09-03 湖南云感科技有限公司 一种驾驶员生命体征监测警示方法
CN110755086A (zh) * 2019-10-29 2020-02-07 北京大众益康科技有限公司 一种坐姿状态下的生理特性数据分析方法及装置

Also Published As

Publication number Publication date
CN110755086A (zh) 2020-02-07

Similar Documents

Publication Publication Date Title
CN110327024B (zh) 一种基于按摩椅的健康参数检测方法、装置和系统
US10376156B2 (en) Device for monitoring for effectiveness of heart failure therapy
WO2021083136A1 (fr) Procédé et appareil d'analyse de données de caractéristique physiologique dans l'état de posture assise
KR20170012608A (ko) 평가 및 조정을 위한 삶의 질 변수의 비접촉 및 최소접촉 모니터링
KR20140003820A (ko) 의자에서 획득한 생체정보를 기반으로 한 사용자 인터페이스방법
US20230022227A1 (en) Device and system for passive clinical assessment
JP2017047104A (ja) 異常通報システム、異常通報方法及びプログラム
JP2003310560A (ja) 健康情報管理システム及びその管理方法
Yusof et al. Mini home-based vital sign monitor with android mobile application (myVitalGear)
CN105997029A (zh) 一种智能身体检测装置
CN105725970A (zh) 一种病患关节压痛参数检测装置、方法和系统
WO2018000155A1 (fr) Chaise intelligente.
CN202489576U (zh) 具有血压测量功能的多功能椅
JP7325576B2 (ja) 端末装置、出力方法及びコンピュータプログラム
CN113456368B (zh) 一种姿势识别方法、系统、装置、终端及存储介质
TWM467134U (zh) 脈診分析系統
JP2017144276A (ja) 異常通報システム、異常通報方法及びプログラム
CN102599750A (zh) 具有血糖测量功能的多功能椅
CN203000983U (zh) 一种无线听诊器听诊头
CN102551691A (zh) 具有血压测量功能的多功能椅
TW200945238A (en) Intelligent maternal homecare monitoring and communication system for pregnant women and related method thereof
CN112450902A (zh) 体征监测与反馈智能椅系统及方法
TWI507171B (zh) 生理訊號之量測裝置、量測系統及資料處理方法
CN202458332U (zh) 具有血氧测量功能的多功能椅
CN219001020U (zh) 按摩器及按摩椅

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20882036

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20882036

Country of ref document: EP

Kind code of ref document: A1