WO2020215373A1 - Méthode de surveillance de santé, système et support d'informations lisible par ordinateur - Google Patents

Méthode de surveillance de santé, système et support d'informations lisible par ordinateur Download PDF

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Publication number
WO2020215373A1
WO2020215373A1 PCT/CN2019/086089 CN2019086089W WO2020215373A1 WO 2020215373 A1 WO2020215373 A1 WO 2020215373A1 CN 2019086089 W CN2019086089 W CN 2019086089W WO 2020215373 A1 WO2020215373 A1 WO 2020215373A1
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WIPO (PCT)
Prior art keywords
cloud server
user
data
state data
wearable device
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PCT/CN2019/086089
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English (en)
Chinese (zh)
Inventor
侯田
邓超
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深圳傲智天下信息科技有限公司
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Publication of WO2020215373A1 publication Critical patent/WO2020215373A1/fr

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Classifications

    • 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
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • 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
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • 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
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Definitions

  • This application relates to the field of wearable devices, and in particular to a health monitoring method, system and computer-readable storage medium.
  • a heart rate detection function is integrated in a smart bracelet or smart headset, and users can obtain their own heart rate data while wearing the smart bracelet or smart bracelet.
  • these current wearable devices can only perform a single data detection and data display, and cannot give specific health guidance based on the detected health data.
  • the main purpose of this application is to provide a health monitoring method, system, and computer readable storage medium, aiming to solve the technical problem that the existing wearable device can only perform data detection and data display, and cannot provide health monitoring guidance.
  • embodiments of the present application provide a health monitoring method, which is applied to a health monitoring system, the health monitoring system includes a wearable device and a cloud server, the wearable device includes a data collection module, The health monitoring method includes:
  • the wearable device collects the physical sign status data of the user through the data collection module, and sends the physical sign status data to the cloud server;
  • the cloud server When the cloud server receives the physical sign state data, analyzes the physical sign state data to determine the user's current physical state, and obtains corresponding health guidance information according to the user's current physical state;
  • the cloud server sends the health guidance information to the wearable device
  • the wearable device When the wearable device receives the health guidance information, it outputs a corresponding health guidance prompt.
  • the cloud server stores historical state data of the user, and when receiving the physical sign state data, the cloud server analyzes the physical sign state data to determine the current body of the user Before the step of obtaining corresponding health guidance information according to the user’s current physical state, it further includes:
  • the cloud server analyzes the historical state data to obtain the normal data range corresponding to the user
  • the step of analyzing the physical sign state data to determine the user's current physical state, and obtaining corresponding health guidance information according to the user's current physical state include:
  • the cloud server receives the physical sign state data, compares the physical sign state data with the normal data range, and judges whether the physical sign state data is within the normal data range;
  • the cloud server determines that the user's current physical state is abnormal, and determines the abnormality type according to the type of the physical state data and the physical state data;
  • the cloud server obtains corresponding health guidance information according to the abnormal type.
  • the method further includes:
  • the wearable device collects secondary state data of the user through the data collection module, and sends the secondary state data to the cloud server;
  • the cloud server compares the secondary state data with the normal data range, and determines whether the secondary state data is within the normal data range;
  • the cloud server uses a preset alarm mode to perform alarm processing.
  • the wearable device further includes a positioning module
  • the health guidance information includes diet guidance information
  • the cloud server analyzes the physical sign status data to determine the physical sign status data when receiving the physical sign status data.
  • the wearable device obtains current address information through the positioning module, and sends the address information to the cloud server;
  • the step of analyzing the physical sign state data to determine the user's current physical state, and obtaining corresponding health guidance information according to the user's current physical state include:
  • the cloud server When receiving the physical sign state data, the cloud server analyzes the physical sign state data to determine the current physical state of the user, and obtains corresponding weather information according to the address information;
  • the cloud server obtains corresponding dietary guidance information according to the current physical state of the user and the weather information.
  • the cloud server stores periodic state data of the user in a preset period
  • the health monitoring method further includes:
  • the cloud server analyzes the periodic state data, and determines the amount of periodic exercise of the user in the preset period
  • the cloud server obtains corresponding exercise guidance information according to the periodic exercise amount, and sends the exercise guidance information to the wearable device;
  • the wearable device outputs corresponding health guidance prompts according to the exercise guidance information.
  • the wearable device further includes a voice collection module
  • the health monitoring method further includes:
  • the wearable device collects the user's voice control information through the voice collection module, and sends the voice control information to the cloud server;
  • the cloud server parses the voice control information, and obtains corresponding device control instructions according to the analysis result;
  • the wearable device When the wearable device receives the device control instruction, it performs corresponding processing according to the device control instruction.
  • the health monitoring system further includes an intelligent terminal, and the step of the wearable device collecting the user's physical state data through the data collection module and sending the physical state data to the cloud server includes:
  • the wearable device collects the physical sign status data of the user through the data collection module, and sends the physical sign status data to the smart terminal;
  • the smart terminal sends the physical sign status data to the cloud server.
  • the step of the cloud server sending the health guidance information to the wearable device includes:
  • the cloud server sends the health guidance information to the smart terminal
  • the smart terminal When receiving the health guidance information, the smart terminal sends the health guidance information to the wearable device.
  • an embodiment of the present application further provides a health monitoring system, the health monitoring system includes a wearable device and a cloud server, and the wearable device includes a data collection module;
  • the wearable device is used to collect the physical sign state data of the user through the data collection module, and send the physical sign state data to the cloud server;
  • the cloud server is used to analyze the physical state data when receiving the physical state data to determine the current physical state of the user, and obtain corresponding health guidance information according to the current physical state of the user ;
  • the cloud server is also used to send the health guidance information to the wearable device
  • the wearable device is further configured to output corresponding health guidance prompts when receiving the health guidance information.
  • an embodiment of the present application further provides a computer-readable storage medium with a health monitoring program stored on it, wherein when the health monitoring program is executed by a processor, the following steps are implemented:
  • the wearable device collects the physical sign status data of the user through the data collection module, and sends the physical sign status data to the cloud server;
  • the cloud server When the cloud server receives the physical sign state data, analyzes the physical sign state data to determine the user's current physical state, and obtains corresponding health guidance information according to the user's current physical state;
  • the cloud server sends the health guidance information to the wearable device
  • the wearable device When the wearable device receives the health guidance information, it outputs a corresponding health guidance prompt.
  • the wearable device collects the user's physical sign data, and then transmits the data to the cloud server.
  • the cloud server analyzes the data and provides health guidance information based on the analysis results.
  • the cloud server then transmits the health guidance information Send to the wearable device, and the wearable device will prompt the user according to the health guidance information, so that the user can improve their living habits according to the relevant prompts after the physical sign data detection, and realize the effect of intelligent health monitoring. It is beneficial to improve the user's physical health and enhance the user's experience.
  • FIG. 1 is a schematic flowchart of a first embodiment of the health monitoring method according to the present application
  • Fig. 2 is a schematic flowchart of a second embodiment of the health monitoring method of the present application.
  • the health monitoring method involved in the embodiments of the present application is mainly applied to a health monitoring system.
  • the health monitoring system includes a wearable device and a cloud server.
  • the wearable device may be a smart headset, smart bracelet, smart watch, smart glasses, and other devices.
  • the wearable device in the subsequent description is described by taking a smart headset as an example.
  • the smart headset includes a data acquisition module (sensor), a processor (such as a CPU), a memory, a battery, a charging interface, an LTE carrier debugging module, an Esim card, a Bluetooth module, a noise reduction module, a speaker, and a voice acquisition module (Such as microphone), buttons, indicator lights, magnetic control module, etc.
  • the data collection module can include a heart rate collection unit, an acceleration measurement unit, a temperature measurement unit, a humidity measurement unit, etc.; the heart rate measurement unit is used to realize the heart rate measurement function, and the data obtained by the acceleration measurement unit can be combined to determine the user's exercise state in the exercise mode , Calibrate the heart rate measurement data according to the user's non-exercise state to achieve dynamic and static heart rate measurement functions; while the temperature measurement unit implements the human body temperature measurement function, and the humidity measurement unit implements the monitoring of the environmental humidity.
  • the processor may be a CPU, and the memory part may include a double-rate synchronous dynamic random access memory DDR and flash memory Flash; the memory of the smart headset stores a health monitoring program, and when the health monitoring program is executed by the processor, the embodiments of the application can be implemented The execution steps of the smart headset in the health monitoring method.
  • the battery part is mainly used to supply power to the smart headset, and the charging interface is used to receive an external charging signal to charge the battery.
  • the combination of LTE carrier debugging module and Esim card realizes 3G, 4G or 5G mobile communication functions.
  • the Bluetooth module is used to implement Bluetooth connection and Bluetooth communication functions.
  • the noise reduction module is used to realize the noise reduction function of the smart headset.
  • each earphone can be equipped with two speakers, one is a moving coil speaker and the other is a moving iron speaker.
  • the moving coil speaker has a better response in the middle and low frequencies, and the moving iron speaker has a better response in the middle and high frequencies.
  • Two speakers are used at the same time, and the moving iron speaker is connected to the moving coil speaker in parallel through the frequency division function of the processor, so that the entire audio frequency band response heard by the human ear is relatively complete.
  • voice collection modules such as microphones
  • two or more microphones can be set, one of which is a call microphone, and the collected voice signals are used to realize the call function, and the other microphone is a noise reduction microphone, and the collected voice signals are used to realize Noise reduction function.
  • buttons part it is used to implement the touch function. Of course, it can also be replaced by a virtual button in practice to give the user a better operating experience.
  • the indicator light it is used to prompt the working status of the smart headset.
  • the magnetic control module is used to control the working state of the smart headset according to the pull-in state of the smart headset.
  • the cloud server may include a processor and a memory.
  • the health monitoring program is executed by the processor, each execution step of the cloud server in the health monitoring method provided in the embodiment of the present application can be implemented.
  • This application provides a health monitoring method.
  • Fig. 1 is a schematic flowchart of a first embodiment of a health monitoring method according to this application.
  • the health monitoring method in this embodiment is applied to a health monitoring system, the health monitoring system includes a wearable device and a cloud server, the wearable device includes a data collection module, and the health monitoring method includes:
  • Step S10 the wearable device collects the physical sign status data of the user through the data collection module, and sends the physical sign status data to the cloud server;
  • a heart rate detection function is integrated in a smart bracelet or smart headset, and users can obtain their own heart rate data while wearing the smart bracelet or smart bracelet.
  • these current wearable devices can only perform a single data detection and data display, and cannot give specific health guidance based on the detected health data.
  • a health monitoring method is proposed. The wearable device collects the user's physical sign data, and then transmits the data to the cloud server. The cloud server analyzes the data and gives health guidance based on the analysis result.
  • the cloud server sends these health guidance information to the wearable device, and the wearable device provides health prompts to the user based on the health guidance information, so that the user can improve his life based on the relevant prompts after the physical sign data detection Habits, to achieve the effect of health monitoring, help improve the user’s physical health and enhance the user’s experience.
  • the health monitoring method in this embodiment is implemented by a health monitoring system.
  • the health monitoring system includes a wearable device and a cloud server, and the wearable device includes a data collection module.
  • the wearable device will be described later by taking a smart headset as an example.
  • the smart headset in this embodiment includes a data acquisition module, and also includes an LTE carrier debugging module and an Esim card. Based on the LTE carrier debugging module and the Esim card, the smart headset can perform wireless connection and data interaction with the cloud server.
  • the smart headset can collect the user's physical sign data through the data collection module, and the physical sign data may include the user's heart rate, the user's body temperature, the user's blood oxygen, the number of walking steps, etc.; these signs
  • the data can reflect the current physical state of the user.
  • the current physical sign data of the user collected by the data collection module can be called physical sign state data.
  • the user's heart rate and blood oxygen data can be obtained through a heart rate blood oxygen sensor.
  • a smart headset includes a heart rate and blood oxygen sensor, which can emit infrared light and green light to the human ear; when the heart contracts or stretches, the content of hemoglobin flowing through the blood vessels will follow the changes in the heart rate, and the oxygen in hemoglobin When the content is different, it will affect the reflected light intensity of infrared light and green light; by detecting the reflected light intensity and changing law, the human body's heart rate data and blood oxygen content data can be calculated.
  • heart rate and blood oxygen data can also be collected in other ways.
  • the smart headset can also include an acceleration sensor.
  • the acceleration sensor collects acceleration data to determine the speed of the human body movement so as to calibrate the collected heart rate data.
  • the physical status data can be sent to the cloud server based on the LTE carrier debugging module and the Esim card.
  • Step S20 When receiving the physical sign state data, the cloud server analyzes the physical sign state data to determine the user's current physical state, and obtains corresponding health guidance according to the user's current physical state information;
  • the cloud server when the cloud server receives the physical state data sent by the smart headset, it can analyze the physical state data to determine the current physical state of the user. For example, the physical status data includes the user's current heart rate data, and the cloud server can determine whether the user has a fast heartbeat at this time based on the heart rate data; for another example, the physical status data includes the user's current body temperature data, and the cloud server can determine this based on the body temperature data. Whether the user’s body temperature is normal at the time. When determining the user's current physical state, the cloud server will obtain corresponding health guidance information according to the user's current physical state.
  • the health guidance information may suggest that the user reduce the exercise rate, calm his mood, etc.; for another example, when it is determined that the user’s body temperature is too low, the health guidance information may suggest that the user wear clothes to keep warm. Move to a warm area and so on.
  • the cloud server when the cloud server receives the physical sign status data, it can also be stored for a long time.
  • the previously stored physical sign status data is different from the currently received physical sign status data, which can be referred to as the user's historical status data.
  • the normal physical sign data range of different users under healthy conditions may also be different. For example, the heart rate of users who exercise frequently is generally slower than that of users who do not exercise frequently.
  • the cloud server may also analyze and determine the user's normal data range according to the user's historical state data, and determine the user's physical state through the normal data range.
  • the historical state data of the user is stored in the cloud server; before the step S20, the method further includes:
  • the cloud server analyzes the historical state data to obtain the normal data range corresponding to the user
  • the cloud server can pre-store the user's historical status data; regarding these historical status data, the cloud server can analyze it to determine its numerical law, so as to obtain the normal data range corresponding to the user, which can be understood as the user
  • the normal fluctuation range of the physical sign data for example, the normal data range of the heart rate of user A is 55-70 beats/minute, and the normal data range of the heart rate of user B is 45-60 beats/minute.
  • the method (rule) used by the cloud server to analyze the historical state data can be set according to the actual situation, for example, it can be based on the relevant calculation rules of mathematical statistics. It can be achieved through machine learning.
  • the step S20 includes:
  • the cloud server receives the physical sign state data, compares the physical sign state data with the normal data range, and judges whether the physical sign state data is within the normal data range;
  • the normal data range can be used for the analysis of the user's physical state data and the determination of the user's current physical state.
  • the cloud server obtains the user's physical status data, it can compare the physical status data with the normal data range to determine whether the physical status data is within the normal data range; if it is, the physical status data can be considered normal, that is, the user The current physical state is normal; if it is not, it can be considered that the physical state data is abnormal, that is, the user's current physical state is abnormal.
  • the cloud server determines that the user's current physical state is abnormal, and determines the abnormality type according to the type of the physical state data and the physical state data;
  • the cloud server compares the physical state data with the normal data range, if the physical state data is not within the normal data range, it can be considered that the physical state data is abnormal, that is, the user's current physical state is abnormal; the cloud server will The type of abnormality will be determined based on the type of the physical status data and the physical status data.
  • the physical sign status data obtained by the cloud server is the user's body temperature status data, and the body temperature status data is 39°C; and the normal data range corresponding to the body temperature status data is 36-37°C; after comparing the body temperature status data with the normal body temperature data range, It can be seen that the body temperature state data is abnormal, and it will be determined that the user's body state is abnormal at this time; and since the body temperature state data is higher than the normal data range at this time, it can be determined that the abnormal type is high body temperature.
  • the cloud server obtains corresponding health guidance information according to the abnormal type.
  • the cloud server determines the abnormality type, it can obtain the corresponding health guidance information according to the abnormality type; the health guidance information may be pre-stored in the cloud server according to the abnormality type. For example, when it is determined that the user’s heartbeat is fast, the health guidance information may suggest that the user reduce the exercise rate, stabilize mood, etc.; for another example, when it is determined that the user’s body temperature is too low, the health guidance information may suggest that the user wear clothes to keep warm and move. Wait to the warm area.
  • the above analysis and determination of the user's normal data range in combination with the user's historical state data can make the subsequent process of the user's physical state analysis standard more in line with the user's personal actual situation, and help improve the accuracy of the user's physical state analysis.
  • other analysis factors can also be added according to the type of physical sign data, thereby further improving the accuracy of the user's physical state analysis.
  • the theoretical maximum heart rate can also be calculated, such as:
  • Theoretical maximum heart rate 220-user age
  • the heart rate range can be divided into several levels based on the theoretical maximum heart rate, such as resting heart rate (not higher than 50% of the theoretical maximum heart rate), warm body rate (50%-60% of the theoretical maximum heart rate), and fat-consuming heart rate (theoretical 60%-70% of maximum heart rate), cardiopulmonary increased heart rate (70% ⁇ 90% of theoretical maximum heart rate), anaerobic heart rate (90 ⁇ 100% of theoretical maximum heart rate), dangerous heart rate (exceeding theoretical maximum heart rate);
  • resting heart rate not higher than 50% of the theoretical maximum heart rate
  • warm body rate 50%-60% of the theoretical maximum heart rate
  • fat-consuming heart rate theoretical 60%-70% of maximum heart rate
  • cardiopulmonary increased heart rate 70% ⁇ 90% of theoretical maximum heart rate
  • anaerobic heart rate 90 ⁇ 100% of theoretical maximum heart rate
  • dangerous heart rate extraction theoretical maximum heart rate
  • Step S30 the cloud server sends the health guidance information to the wearable device
  • the cloud server when the cloud server obtains the corresponding health guidance information, it will send the health guidance information to the smart headset.
  • Step S40 when the wearable device receives the health guidance information, output a corresponding health guidance prompt.
  • the smart headset when the smart headset receives the health guidance information, it can output corresponding health guidance prompts according to the health guidance information.
  • different methods can be used according to the type of health guidance information or the function of the smart earphone (wearable device); for example, for the smart earphone, it has a speaker, so it can be by outputting the prompt voice.
  • Realization such as outputting voice "Your heartbeat is fast, please reduce your exercise rate", "Your body temperature is too low, please keep warm", etc.; and when the wearable device is a smart bracelet and the smart bracelet has a vibration function , Can be prompted by vibration.
  • the process of collecting physical sign data by the smart headset can be performed cyclically; and if the cloud server detects that the user's physical state is abnormal for a long time, it can perform alarm processing to prompt other personnel to deal with the emergency in time. For example, after comparing the physical state data with the normal data range, if it is determined that the physical state data is not within the normal data range, it can be determined that the user's current physical state is abnormal.
  • the cloud server will base on the type and The physical sign status data determines the type of abnormality, and obtains the corresponding health guidance information, and then sends the health guidance information to the smart headset; the smart headset makes corresponding prompts based on the health guidance information; after the prompt (or after a certain period of time has passed) ), the smart headset can collect the user's physical status data again.
  • the physical status data can be called secondary status data, and then send the secondary status data to the cloud server; the cloud server will The secondary state data is compared with the normal data range to determine whether the secondary state data is within the normal data range; if it is, it can indicate that the user's physical state has returned to normal; if not, it can be considered that the user's physical state has been in the long-term
  • the cloud server can use preset alarm methods for alarm processing, such as dialing an alarm call to an emergency contact number, sending an alarm message to an emergency contact number, and sending an alarm message to an emergency social account.
  • the cloud server can also push some dietary guidance information to the user based on the weather conditions of the day, so as to provide the user with dietary guidance.
  • the smart headset may also include a positioning module, and the health guidance information includes diet guidance information. Before the step S20, it further includes:
  • the wearable device obtains the address information of the user through the positioning module, and sends the address information to the cloud server;
  • the smart headset can also acquire current address information through the positioning module, that is, locate the user.
  • the address information can be sent to the cloud server.
  • the step S20 includes:
  • the cloud server When receiving the physical sign state data, the cloud server analyzes the physical sign state data to determine the current physical state of the user, and obtains corresponding weather information according to the address information;
  • the cloud server When the cloud server receives the physical state data, it will analyze the physical state data to determine the current physical state of the user. At the same time, the cloud server can also determine the user's current location based on the address information, and obtain weather information corresponding to the user's location based on the address information.
  • the cloud server obtains corresponding dietary guidance information according to the current physical state of the user and the weather information.
  • the cloud server determines the user's current physical state and the weather information of the user's location, it can obtain corresponding dietary guidance information according to the user's current physical state and weather information, and then send the dietary guidance to the smart headset, thereby providing The user provides dietary guidance. For example, if the user exercises a lot on a certain day and the weather is cold, the user may be advised to eat more high-calorie diet packages to supplement sufficient nutrition, which is beneficial to improve the user's physical health and enhance the user's experience.
  • the cloud server can also use long-term monitoring of user health data to determine the user's overall exercise volume. If the user's overall exercise volume is relatively small, it is recommended that the user increase exercise appropriately and provide exercise guidance information during exercise.
  • the historical state data stored by the cloud server can also be marked and stored periodically according to its acquisition time, such as historical state data in November and historical state data in December. For the convenience of description, these periodic The historical status data can be called periodic status data.
  • the health monitoring method further includes:
  • the cloud server analyzes the periodic state data, and determines the amount of periodic exercise of the user in the preset period
  • the cloud server can analyze the periodic state data of a certain period to determine the amount of periodic exercise of the user in the period. For example, the cloud server may determine the amount of periodic exercise of the user in the period according to the method of detecting the number of steps.
  • the cloud server obtains corresponding exercise guidance information according to the periodic exercise amount, and sends the exercise guidance information to the wearable device;
  • the cloud server can obtain corresponding exercise guidance information according to the user's periodic exercise amount; for example, when the user's periodic exercise amount is relatively small, the user may be advised to increase exercise appropriately.
  • the cloud server may send the exercise guidance information to the smart headset.
  • the wearable device outputs corresponding health guidance prompts according to the exercise guidance information.
  • the smart headset When the smart headset obtains the exercise guidance information, it can output corresponding health guidance prompts according to the exercise guidance information; for example, when the user has a relatively small amount of periodic exercise, the smart headset can prompt the user to exercise every 6 pm.
  • corresponding exercise guidance is provided according to the user's actual situation, and intelligent health monitoring is realized, which is beneficial to improve the user's physical health and enhance the user's experience.
  • the cloud server also provides users with relevant auxiliary information according to their habits.
  • the cloud server can push music to the user according to the user's sleep quality and the user's exercise status, prompting the user to pay attention to exercise; according to the long-term analysis of the user's music preferences, such as the user likes soft music in the morning and rock music in the evening , The user pushes soft music when listening to songs in the morning, pushes rock music when listening to songs in the evening, and automatically adjusts some mainstream sound effect modes for users according to the sound effects they like.
  • the wearable device collects the user's physical sign data, and then transmits these data to the cloud server.
  • the cloud server analyzes the data and provides health guidance information based on the analysis results.
  • the cloud server then sends these health guidance
  • the information is sent to the wearable device, and the wearable device prompts the user for health based on the health guidance information, so that the user can improve his living habits according to the relevant prompts after the physical sign data detection, and realize the effect of intelligent health monitoring. It is beneficial to improve the user's physical health and improve the user's experience.
  • FIG. 2 is a schematic flowchart of the second embodiment of the health monitoring method of this application.
  • the wearable device further includes a voice collection module
  • the health monitoring method further includes:
  • Step S50 the wearable device collects the user's voice control information through the voice collection module, and sends the voice control information to the cloud server;
  • the smart headset can collect the user's physical status data through the data collection module, and the cloud server analyzes the physical status data and pushes the corresponding health guidance information; the user can also actively trigger related instructions by voice control , So that the health monitoring system performs corresponding processing according to user needs.
  • the smart headset also includes a voice collection module, such as a microphone.
  • a voice collection module such as a microphone.
  • the user needs to obtain the content information or other control that the user wants, he can speak related voice control information to the voice collection module; when the Bluetooth headset collects the user’s voice control information through the voice collection module, it will The voice control information is sent to the cloud server.
  • Step S60 the cloud server parses the voice control information, and obtains a corresponding device control instruction according to the analysis result;
  • the cloud server when the cloud server receives the voice control information, it will analyze the voice control information to determine the meaning of the user's words; and then obtain corresponding device control instructions, such as music playback instructions and weather query instructions, according to the analysis results. It is worth noting that, for some device control instructions, the cloud server often needs to obtain corresponding instruction data. For example, for music playback instructions, the cloud server also needs to obtain corresponding music data through the network. To
  • Step S70 the cloud server sends the device control instruction to the wearable device
  • the cloud server when the cloud server receives a device control instruction, it will send the device control instruction to the smart headset so that the smart headset executes the instruction. Of course, if there is corresponding instruction data, the cloud server will send the instruction data together.
  • Step S80 when the wearable device receives the device control instruction, it performs corresponding processing according to the device control instruction.
  • the smart headset when it receives a device control instruction, it will perform corresponding processing according to the device control instruction.
  • the cloud server in this embodiment can also be connected with other devices, such as smart home devices. If the voice control information relates to other devices, the cloud server will send corresponding control instructions to the device, thereby Realize remote control of equipment.
  • the health monitoring system of this embodiment can implement voice control according to the needs of the user, so as to provide the user with the information or service functions required by the user, and improve the user experience.
  • the health monitoring system further includes an intelligent terminal, and the step S10 includes:
  • the wearable device collects the physical sign status data of the user through the data collection module, and sends the physical sign status data to the smart terminal;
  • the health monitoring system may also include an intelligent terminal, which may be a mobile phone, a tablet computer, a palmtop computer, and the like.
  • the smart terminal may include a processor, a memory, and a health monitoring program that is stored in the memory and can be executed by the processor; when the program is executed, the smart terminal can implement the functions of the smart terminal in the health monitoring method provided in the embodiments of this application. Each execution step.
  • the subsequent smart terminal is described with a mobile phone.
  • the cloud server can directly interact with the mobile phone for data; while the mobile phone and the smart headset are connected and interacted by Bluetooth, and the two are used in conjunction.
  • the smart headset collects the physical sign status data of the user, the physical sign status data is first sent to the mobile phone in the manner of Bluetooth, and the physical sign status data is sent to the cloud server through the mobile phone.
  • the smart terminal sends the physical sign status data to the cloud server.
  • the mobile phone when the mobile phone receives the physical sign status data, it sends the physical sign status data to the cloud server; that is, the smart headset sends the user's physical status data to the cloud server through the mobile phone.
  • the cloud server when the cloud server needs to send health guidance information (or other information, instructions, data) to the smart headset, it also first sends the health guidance information (or other information, instructions, data) to the mobile phone; Health guidance information (or other information, instructions, data) is forwarded to the Bluetooth headset.
  • the smart headset in this embodiment does not need to enable the functions of the Esim card and the LTE part, but interacts with the mobile phone through Bluetooth to achieve indirect communication between the mobile phone and the cloud server. The interaction is conducive to reducing the power consumption of smart headsets and extending battery life.
  • the mobile phone can also control the smart phone accordingly, such as controlling the on and off of the data collection function of the smart headset, whether to enter the motion monitoring mode or sleep detection mode, whether to turn on the noise reduction mode, and Noise reduction adjustment and other functions; the noise reduction mode can also be set on the mobile phone to allow smart headphones to filter the noise of different frequency bands.
  • the set noise reduction parameters are sent to the smart headphones via Bluetooth, and the smart headphones are set according to the noise reduction parameters to achieve different The noise reduction effect.
  • the mobile phone can also be connected to multiple wearable devices, and display the physical sign data collected by multiple wearable devices and the physical state corresponding to the physical sign data; for example, it can be connected to multiple families
  • the smart bracelet worn by the member can see the physical sign data and physical status information of multiple family members on one mobile phone, realizing multi-person health monitoring.
  • this application also provides a health monitoring system.
  • the health monitoring system of this application includes a wearable device and a cloud server, and the wearable device includes a data collection module;
  • the wearable device is used to collect the physical sign state data of the user through the data collection module, and send the physical sign state data to the cloud server;
  • the cloud server is used to analyze the physical state data when receiving the physical state data to determine the current physical state of the user, and obtain corresponding health guidance information according to the current physical state of the user ;
  • the cloud server is also used to send the health guidance information to the wearable device
  • the wearable device is further configured to output corresponding health guidance prompts when receiving the health guidance information.
  • the historical state data of the user is stored in the cloud server.
  • the cloud server is also used to analyze the historical state data to obtain the normal data range corresponding to the user;
  • the cloud server is further configured to compare the physical sign state data with the normal data range when receiving the physical sign state data to determine whether the physical sign state data is within the normal data range; If the physical state data is not within the normal data range, it is determined that the user’s current physical state is abnormal, and the type of abnormality is determined according to the type of the physical state data and the physical state data; the corresponding abnormality is obtained according to the abnormal type Health guidance information.
  • the wearable device is also used to collect secondary state data of the user through the data collection module, and send the secondary state data to the cloud server;
  • the cloud server is also used to compare the secondary state data with the normal data range to determine whether the secondary state data is within the normal data range; if the secondary state data is not in the normal data range; Within the normal data range, the preset alarm method is used for alarm processing.
  • the wearable device further includes a positioning module, and the health guidance information includes diet guidance information,
  • the wearable device is also used to obtain current address information through the positioning module, and send the address information to the cloud server;
  • the cloud server is also used to analyze the physical state data when receiving the physical sign state data to determine the current physical state of the user, and obtain corresponding weather information according to the address information; According to the user's current physical state and the weather information, corresponding dietary guidance information is obtained.
  • the cloud server stores periodic state data of the user in a preset period
  • the cloud server is also used to analyze the periodic state data to determine the periodic exercise amount of the user in the preset period; obtain corresponding exercise guidance information according to the periodic exercise amount, and guide the exercise The information is sent to the wearable device.
  • the wearable device further includes a voice collection module
  • the wearable device is also used to collect the user's voice control information through the voice collection module, and send the voice control information to the cloud server;
  • the cloud server is further configured to parse the voice control information, and obtain corresponding device control instructions according to the analysis results; send the device control instructions to the wearable device;
  • the wearable device is also configured to perform corresponding processing according to the device control instruction when the device control instruction is received.
  • the health monitoring system also includes an intelligent terminal,
  • the wearable device is also used to collect the physical state data of the user through the data collection module, and send the physical state data to the smart terminal;
  • the smart terminal is used to send the physical sign status data to the cloud server.
  • the cloud server is also used to send the health guidance information to the smart terminal
  • the smart terminal is further configured to send the health guidance information to the wearable device when receiving the health guidance information.
  • this application also provides a computer-readable storage medium.
  • the computer-readable storage medium of the present application stores a health monitoring program, and when the health monitoring program is executed by a processor, the steps of the above-mentioned health monitoring method are realized.
  • the health monitoring program can be executed by the processors of multiple different terminals (devices); the method implemented when the health monitoring program is executed can refer to the various embodiments of the health monitoring method of this application. Repeat it again.

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Abstract

L'invention concerne une méthode de surveillance de santé, un système et un support d'informations lisible par ordinateur, la méthode de surveillance de santé comprenant : la collecte par un dispositif portatif de données d'état physique d'un utilisateur au moyen d'un module de collecte de données, et l'envoi des données d'état physique à un serveur en nuage ; lorsque les données d'état physique sont reçues, l'analyse par le serveur en nuage des données d'état physique en vue de déterminer l'état corporel actuel de l'utilisateur, et l'acquisition d'informations de conseils en matière de santé correspondants en fonction de l'état corporel actuel de l'utilisateur ; l'envoi par le serveur en nuage des informations de conseils en matière de santé au dispositif portatif ; et lorsque les informations de conseils en matière de santé sont reçues, l'émission par le dispositif portatif d'une invite de conseils en matière de santé correspondants. La méthode de surveillance et le système de surveillance décrits peuvent fournir des conseils en matière de santé correspondants en fonction de données d'état physique d'un utilisateur, ce qui permet d'améliorer la santé physique de l'utilisateur, d'où une amélioration de l'expérience d'utilisation pour l'utilisateur.
PCT/CN2019/086089 2019-04-23 2019-05-09 Méthode de surveillance de santé, système et support d'informations lisible par ordinateur WO2020215373A1 (fr)

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