CN111134642A - Household health monitoring system based on computer - Google Patents
Household health monitoring system based on computer Download PDFInfo
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- CN111134642A CN111134642A CN202010047911.5A CN202010047911A CN111134642A CN 111134642 A CN111134642 A CN 111134642A CN 202010047911 A CN202010047911 A CN 202010047911A CN 111134642 A CN111134642 A CN 111134642A
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- 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
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
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- 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
- A61B5/021—Measuring pressure in heart or blood vessels
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- 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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
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- 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
- A61B5/1118—Determining activity level
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3438—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment monitoring of user actions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- 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
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Abstract
The invention discloses a household health monitoring system based on a computer, which relates to the technical field of information processing and comprises a wearable device, a mobile device and a computer, wherein the wearable device collects and records physiological data and motion data of a user, the mobile device collects internet surfing time and emotion data of the user during internet surfing, the wearable device and the mobile device send the recorded data to the computer when the user uses the computer, and the computer combines the data recorded by the mobile device and the wearable device to analyze and judge the health state of the user and finally form a health report. The system can use a plurality of devices to collect data related to health in daily life of the user, and the computer combines the data to comprehensively analyze and judge the health condition of the user, so that the obtained result is more accurate and comprehensive.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to a household health monitoring system based on a computer.
Background
With the improvement of national material conditions and mental conditions, health becomes an increasingly concerned topic. With the increasing popularity of health education, people are increasingly aware of the importance of health, and therefore many people purchase health monitoring products to monitor their health in their daily lives.
Most health monitoring equipment at present mainly takes wearable equipment as main, for example bracelet, smart watch etc. although the data acquisition scope and the precision of these equipment can not compare with special equipment in the hospital, but can satisfy most basic health monitoring demand, under the condition of monitoring physiological parameters such as blood pressure, rhythm of the heart, these wearable equipment can give some guidance suggestions, make things convenient for the user to adjust in the aspect of health.
However, the existing health monitoring device can only analyze health conditions according to data of a single device, for example, a bracelet can only analyze health according to data such as collected blood pressure and heart rate, but actually, the health conditions of people are affected by various environmental factors, such as emotion, work and rest time, life style and the like, and the existing health monitoring technology obviously cannot analyze comprehensively and accurately.
Disclosure of Invention
The embodiment of the invention provides a household health monitoring system based on a computer, which can solve the problems in the prior art.
The invention provides a computer-based household health monitoring system which is characterized by comprising wearable equipment, mobile equipment and a computer, wherein the wearable equipment is used for acquiring and recording physiological data and motion data of a user, and the motion data comprises motion amount data; the mobile equipment is used for detecting a networking state, the mobile equipment box wearable equipment starts a recording instruction during the networking, the wearable equipment responds to the recording instruction to determine physiological data acquired during the networking as data during the networking, and meanwhile, the mobile equipment acquires facial images of a user during the use of the user and analyzes the facial images to determine the emotion of the user;
when a user uses the computer, when the time length of the last data uploading operation and the current time reaches a preset value, the computer sends a data uploading instruction to the wearable device and the mobile device, the wearable device responds to the data uploading instruction to upload physiological data and motion data recorded after the last data uploading to the computer through Bluetooth, the mobile device uploads the recorded emotion data to the computer, and the computer combines the data uploaded by the wearable device and the mobile device to analyze and judge the health condition of the user;
when the computer analyzes and judges the health condition of the user, firstly, the proportion of the movement time and the internet surfing time of the user in a period of time in the whole period of time is calculated according to the movement time period recorded by the wearable device and the internet surfing time period recorded by the mobile device, and whether the proportion is proper or not is judged; then, judging whether the user's quantity of motion is qualified or not according to the quantity of motion data recorded by the wearable device and the physiological data in the motion time period; then, determining whether the internet surfing time period distribution of the user is reasonable or not according to the internet surfing time period recorded by the mobile equipment; finally, whether the information contacted by the user in the internet surfing process is proper or not is determined according to the emotion data recorded by the mobile equipment and the physiological data, corresponding to the time period of each emotion, recorded by the wearable equipment; the computer forms a health report after the above analysis and judgment.
The invention provides a computer-based household health monitoring system, which comprises wearable equipment, mobile equipment and a computer, wherein the wearable equipment collects and records physiological data and motion data of a user, the mobile equipment collects internet surfing time and emotion data during internet surfing of the user, the wearable equipment and the mobile equipment send the recorded data to the computer when the user uses the computer, and the computer combines the data recorded by the mobile equipment and the wearable equipment to analyze and judge the health state of the user to finally form a health report. The system can use a plurality of devices to collect data related to health in daily life of the user, and the computer combines the data to comprehensively analyze and judge the health condition of the user, so that the obtained result is more accurate and comprehensive.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a computer-based home health monitoring system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the embodiment of the present invention provides a computer-based home health monitoring system, which is composed of a wearable device, a mobile device and a computer, wherein the wearable device is a device with a physiological data acquisition function, such as a bracelet and a smart watch, the mobile device is an electronic device with mobile communication and image acquisition and analysis functions, such as a mobile phone and a tablet computer, and the computer is a notebook or desktop computer device with wireless communication, data storage and analysis functions.
The wearable device detects and records physiological data and motion data of a user in real time in the daily wearing process of the user, wherein the physiological data comprises blood pressure and heart rate, and the motion data comprises motion frequency and motion amount. The time period for recording the physiological data is the whole day, so the recording time period of the physiological data is divided into a daytime activity period and a nighttime sleep period, the wearable device judges whether the user is in an activity state or a sleep state according to the movement frequency, when the movement frequency is higher and exceeds a set threshold value, the user is considered to be in the activity state, the wearable device classifies the acquired physiological data as data of the daytime activity period, and when the movement frequency is lower and is lower than the set threshold value, the user is considered to be in the sleep state, the wearable device classifies the acquired physiological data as data of the nighttime sleep period. When the wearable device determines that the user is in the activity state, whether the user is in the ordinary activity state or the motion state is judged according to the collected motion frequency data, when the user is determined to be in the motion state, the wearable device also records the motion amount data during the whole motion state, the physiological data in the motion state are classified into the data of the motion time period, and meanwhile, the wearable device also records the motion time period of the user.
The mobile device detects the networking state in the daily use process of a user, if the mobile device is connected to the Internet, the mobile device sends a recording starting instruction to the wearable device, when the connection with the Internet is disconnected, the wearable device sends a recording ending instruction to the wearable device, and the wearable device responds to the instruction sent by the mobile device to determine the received physiological data collected between the recording starting instruction and the recording ending instruction as the data during the networking period. The mobile equipment also collects facial images of the user during daily use of the user, analyzes the collected facial images to determine the emotion of the current user, divides the determined emotion into a positive emotion and a negative emotion, and finally records the emotion data obtained through classification and the time period of the emotion.
When a user uses the computer, the computer automatically calculates the time length of the last data uploading operation and the current time, judges whether the time length reaches a preset value or not, and if the time length reaches the preset value, the computer sends a data uploading instruction to the wearable device and the mobile device through Bluetooth. Because the wearing equipment is worn by the user at any moment, the wearing equipment is necessarily located in the Bluetooth range of the computer, the wearing equipment responds to a data uploading instruction to upload the physiological data and the motion data recorded after the last data uploading to the computer through Bluetooth, and the computer stores the received data.
Since the mobile device may not be carried around by the user as a wearable device, the mobile device may not be within the bluetooth range of the computer while the user is using the computer, and thus, a situation may occur in which the mobile device cannot respond to the data upload instruction. When the mobile device is in the Bluetooth range of the computer and uploads the recorded emotion data and the time period data to the computer, the computer combines the data uploaded by the wearable device and the mobile device, and analyzes and judges the health condition of the user.
When the mobile device is out of the Bluetooth range of the computer, the computer sends a searching instruction to the wearable device, and the analysis and judgment operation of the health condition of the user is not performed at this time. The wearable device responds to the searching instruction to search the mobile device through the Bluetooth, when the mobile device is located in the Bluetooth range of the wearable device, the wearable device sends a data sending instruction to the mobile device, and the mobile device responds to the instruction to send data recorded after the data are uploaded to a computer or the wearable device last time to the wearable device. When the wearable device is connected with the computer next time and uploads the data recorded by the wearable device, the wearable device also sends the stored data sent by the mobile device to the computer, the computer combines the data uploaded by the wearable device last time with the data of the mobile device corresponding to the time of uploading the data last time when receiving the data next time so as to analyze and judge the health condition of the user, and at the moment, the result obtained by the analysis of the computer is in a lagging state.
Although the computer cannot obtain the latest data every time in the process, the wearable device and the mobile device are not required to be carried to the vicinity of the computer every time the user uses the computer, and the wearable device and the mobile device can automatically acquire physiological data, motion data and emotion data without the user setting intentionally, so that the user is completely free of burden in use, does not spend any extra learning cost, and avoids the problems of data recording omission and the like caused by the fact that the user forgets to operate.
When the computer analyzes and judges the health condition of the user according to the data recorded by the wearable device and the mobile device, the computer firstly calculates the proportion of the movement time and the internet surfing time of the user in a period of time in the whole period of time according to the movement time period recorded by the wearable device and the internet surfing time period recorded by the mobile device, judges whether the proportion is proper or not, and if not, gives a corresponding suggestion. For example, if the proportion of the internet surfing time of the user in the whole time period reaches 20%, the user is recommended to reduce the internet surfing time, and if the proportion of the exercise time of the user in the whole time period is lower than 5%, the user is recommended to increase the exercise time.
And then, the computer judges whether the user's quantity of motion is qualified or not according to the quantity of motion data recorded by the wearable device and the physiological data in the motion time period, and if not, corresponding suggestions are given. For example, the exercise length of the user in the whole time period is 2 km or the walking/running steps are 5000 steps, and meanwhile, the heart rate or the blood pressure in the exercise time period is lower than the alarm value, the exercise amount of the user is considered to be qualified; if the exercise length of the user reaches 15 kilometers and the heart rate in the exercise time period exceeds the alarm value, the exercise amount of the user is considered to be too large, and the user is advised to reduce the exercise amount appropriately.
And then, the computer determines whether the internet surfing time of the user is reasonable or not according to the internet surfing time period recorded by the mobile equipment, and if not, corresponding suggestions are given. For example, if the internet access time periods of the user are 9-11 am, 1-2 pm, 7-9 pm and 11-12 pm every day, it means that a significant part of the time of the user is used for internet access, and the user accesses the internet in the time period in which the work or learning efficiency is highest or the internet is not suitable for the day, obviously, the distribution of the internet access time periods is unreasonable, and the user is recommended to access the internet after the study or work.
And finally, the computer determines whether the information contacted by the user in the internet surfing process is appropriate according to the emotion data recorded by the mobile equipment and the physiological data, corresponding to the time period of each emotion, recorded by the wearable equipment, and gives corresponding suggestions if the information is not appropriate. For example, the user shows negative emotions such as depression and injury in the internet surfing process, or the physiological data change is too violent in the internet surfing process (for example, the heart rate is rapidly increased due to laughing), which indicates that the network information contacted by the user is not good for physical and mental health, and suggests that the user is less contacted with the network information.
And after the computer finishes the four analysis contents, forming a health report, and displaying the health report on a display screen for a user to check.
Since more than one user is usually in a home, and the home environment has a great influence on the health condition of the user, in the case of a plurality of users in the home, each user needs to wear one wearable device and use one mobile device. Wearing equipment and the mobile device that everybody used gather each user's data, then all vice wearing equipment send the data of record to main wearing equipment regularly, and main wearing equipment sends data to the computer again, and all mobile devices send data directly to the computer or keep by the computer after vice wearing equipment and main wearing equipment's the retransmission. After the computer stores the data for all family members over a period of time, the data is combined, analyzed and a combined health report is generated.
The above disclosure is only for a few specific embodiments of the present invention, however, the present invention is not limited to the above embodiments, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present invention.
Claims (5)
1. The computer-based household health monitoring system is characterized by comprising wearable equipment, mobile equipment and a computer, wherein the wearable equipment is used for collecting and recording physiological data and motion data of a user, and the motion data comprises motion amount data; the mobile equipment is used for detecting a networking state, the mobile equipment box wearable equipment starts a recording instruction during the networking, the wearable equipment responds to the recording instruction to determine physiological data acquired during the networking as data during the networking, and meanwhile, the mobile equipment acquires facial images of a user during the use of the user and analyzes the facial images to determine the emotion of the user;
when a user uses the computer, when the time length of the last data uploading operation and the current time reaches a preset value, the computer sends a data uploading instruction to the wearable device and the mobile device, the wearable device responds to the data uploading instruction to upload physiological data and motion data recorded after the last data uploading to the computer through Bluetooth, the mobile device uploads the recorded emotion data to the computer, and the computer combines the data uploaded by the wearable device and the mobile device to analyze and judge the health condition of the user;
when the computer analyzes and judges the health condition of the user, firstly, the proportion of the movement time and the internet surfing time of the user in a period of time in the whole period of time is calculated according to the movement time period recorded by the wearable device and the internet surfing time period recorded by the mobile device, and whether the proportion is proper or not is judged; then, judging whether the user's quantity of motion is qualified or not according to the quantity of motion data recorded by the wearable device and the physiological data in the motion time period; then, determining whether the internet surfing time period distribution of the user is reasonable or not according to the internet surfing time period recorded by the mobile equipment; finally, whether the information contacted by the user in the internet surfing process is proper or not is determined according to the emotion data recorded by the mobile equipment and the physiological data, corresponding to the time period of each emotion, recorded by the wearable equipment; the computer forms a health report after the above analysis and judgment.
2. The computer-based home health monitoring system of claim 1, wherein the mobile device, after determining the emotion of the user from the facial image, classifies the determined emotion into two categories, positive emotion and negative emotion, and records the classified emotion data with the time period in which each category of emotion is present.
3. The computer-based home health monitoring system of claim 1, wherein the mobile device and the wearable device both upload data to the computer via bluetooth, and the computer also issues data upload instructions to the mobile device and the wearable device via bluetooth.
4. The computer-based home health monitoring system of claim 3, wherein when the mobile device is out of the Bluetooth range of the computer, the computer sends a search instruction to the wearable device and suspends the analysis and judgment operation of the health condition of the user;
the wearable device responds to a searching instruction and searches the mobile device through Bluetooth, when the mobile device is located in the Bluetooth range of the wearable device, the wearable device sends a data sending instruction to the mobile device, the mobile device responds to the instruction and sends the data which is uploaded to a computer or is recorded after the wearable device last time to the wearable device, the wearable device sends the stored data which is sent by the mobile device to the computer together when being connected with the computer next time, and the computer combines the data uploaded by the wearable device last time and the data of the mobile device corresponding to the time of uploading the data last time when receiving the data next time so as to analyze and judge the health condition of a user.
5. The computer-based home health monitoring system of claim 4, wherein when each family member uses a wearable device and a mobile device, the wearable device and the mobile device used by each family member collect data of the respective user, all the wearable devices periodically send the recorded data to the main wearable device, and then the main wearable device sends the data to the computer, and the mobile device used by each family member directly sends the data to the computer or stores the data after being forwarded by the auxiliary wearable device and the main wearable device; after the computer stores the data for all family members over a period of time, the data is combined, analyzed and a combined health report is formed.
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| CN202010047911.5A CN111134642A (en) | 2020-01-16 | 2020-01-16 | Household health monitoring system based on computer |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113160926A (en) * | 2021-04-19 | 2021-07-23 | 深圳市安全守护科技有限公司 | Report query method and device, terminal equipment and computer readable storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103154953A (en) * | 2010-09-30 | 2013-06-12 | 阿弗科迪瓦公司 | Measuring affective data for web-enabled applications |
| US20130245396A1 (en) * | 2010-06-07 | 2013-09-19 | Affectiva, Inc. | Mental state analysis using wearable-camera devices |
| CN103876711A (en) * | 2014-03-27 | 2014-06-25 | 北京圣博亚科技有限公司 | Wearable electronic device and human body health monitoring and managing system |
| CN106605218A (en) * | 2014-07-03 | 2017-04-26 | 真实眼私人有限公司 | Method of collecting and processing computer user data during interaction with web-based content |
| US20170195821A1 (en) * | 2015-12-31 | 2017-07-06 | Cho Wing Lam | System including alternation of sensor connection and transmission mechanism for motion sensing garment |
| CN107610765A (en) * | 2017-08-08 | 2018-01-19 | 深圳智能表芯科技有限公司 | A kind of human activity is worth monitoring method and system |
| US20180113987A1 (en) * | 2016-10-20 | 2018-04-26 | Jiping Zhu | Method and system for quantitative classification of health conditions via wearable device and application thereof |
| CN109310353A (en) * | 2016-06-06 | 2019-02-05 | 微软技术许可有限责任公司 | Information is conveyed via computer implemented agency |
| CN109803572A (en) * | 2016-07-27 | 2019-05-24 | 生物说股份有限公司 | For measuring and the system and method for managing physiologic emotional state |
| CN109875579A (en) * | 2019-02-28 | 2019-06-14 | 京东方科技集团股份有限公司 | Emotional health management system and emotional health management method |
| US20190326013A1 (en) * | 2018-04-19 | 2019-10-24 | University Of Florida Research Foundation, Incorporated | Method and apparatus for pervasive patient monitoring |
-
2020
- 2020-01-16 CN CN202010047911.5A patent/CN111134642A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130245396A1 (en) * | 2010-06-07 | 2013-09-19 | Affectiva, Inc. | Mental state analysis using wearable-camera devices |
| CN103154953A (en) * | 2010-09-30 | 2013-06-12 | 阿弗科迪瓦公司 | Measuring affective data for web-enabled applications |
| CN103876711A (en) * | 2014-03-27 | 2014-06-25 | 北京圣博亚科技有限公司 | Wearable electronic device and human body health monitoring and managing system |
| CN106605218A (en) * | 2014-07-03 | 2017-04-26 | 真实眼私人有限公司 | Method of collecting and processing computer user data during interaction with web-based content |
| US20170195821A1 (en) * | 2015-12-31 | 2017-07-06 | Cho Wing Lam | System including alternation of sensor connection and transmission mechanism for motion sensing garment |
| CN109310353A (en) * | 2016-06-06 | 2019-02-05 | 微软技术许可有限责任公司 | Information is conveyed via computer implemented agency |
| CN109803572A (en) * | 2016-07-27 | 2019-05-24 | 生物说股份有限公司 | For measuring and the system and method for managing physiologic emotional state |
| US20180113987A1 (en) * | 2016-10-20 | 2018-04-26 | Jiping Zhu | Method and system for quantitative classification of health conditions via wearable device and application thereof |
| CN107610765A (en) * | 2017-08-08 | 2018-01-19 | 深圳智能表芯科技有限公司 | A kind of human activity is worth monitoring method and system |
| US20190326013A1 (en) * | 2018-04-19 | 2019-10-24 | University Of Florida Research Foundation, Incorporated | Method and apparatus for pervasive patient monitoring |
| CN109875579A (en) * | 2019-02-28 | 2019-06-14 | 京东方科技集团股份有限公司 | Emotional health management system and emotional health management method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113160926A (en) * | 2021-04-19 | 2021-07-23 | 深圳市安全守护科技有限公司 | Report query method and device, terminal equipment and computer readable storage medium |
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