CN112168154A - Sleep quality and health condition analysis system - Google Patents

Sleep quality and health condition analysis system Download PDF

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Publication number
CN112168154A
CN112168154A CN201910584809.6A CN201910584809A CN112168154A CN 112168154 A CN112168154 A CN 112168154A CN 201910584809 A CN201910584809 A CN 201910584809A CN 112168154 A CN112168154 A CN 112168154A
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module
data
user
sensor
health
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黄裕翔
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Foshan Daphne Home Decoration Co ltd
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Foshan Daphne Home Decoration Co ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4815Sleep quality
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/021Measuring pressure in heart or blood vessels
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1112Global tracking of patients, e.g. by using GPS
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14542Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6892Mats
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6898Portable consumer electronic devices, e.g. music players, telephones, tablet computers

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Physiology (AREA)
  • Cardiology (AREA)
  • Optics & Photonics (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Dentistry (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Vascular Medicine (AREA)
  • Emergency Medicine (AREA)
  • Multimedia (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The invention discloses a sleep quality and health condition analysis system, which comprises: the mattress device comprises a mattress device, a server, a mobile device and a wearable device. The server compares the map data with a plurality of positions of the mobile device at a plurality of times to judge at least one activity of the user at the plurality of positions. The analysis module of the server provides a health suggestion message according to a plurality of physiological data, a plurality of physiological normal state parameters and health data of the user.

Description

Sleep quality and health condition analysis system
Technical Field
The present invention relates to a system for analyzing sleep quality and health status, and more particularly, to a system for analyzing sleep quality and health status using recorded data of a mobile device and a wearable device.
Background
Traditional sleep quality detection is mostly required to be carried out to a specific medical clinic. In addition to the inquiry of specialized physicians, not only the time and space are limited, but also various current physiological data cannot be mastered in real time. There is a limit to the health care of the user.
Therefore, how to provide a sleep quality and health status analysis system that can continuously provide health status advice according to the physical status of the user without changing the habits of the user has become an important issue to be solved by the industry.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a sleep quality and health status analysis system for overcoming the disadvantages of the prior art, which is characterized by comprising: a mattress device comprising a first sensor module and a second sensor module, wherein a user lies on the mattress device during a first time interval, the first sensor module and the second sensor module respectively collecting a first type sensing signal and a second type sensing signal of the user during the first time interval; a server communicatively coupled to the mattress assembly and receiving the first sensing signal and the second sensing signal, the server comprising: the analysis module is arranged in the server and is used for obtaining a plurality of physiological data of the user according to the first type sensing signal and the second type sensing signal, and the analysis module is used for comparing one of the plurality of physiological data of the user with a corresponding physiological normal parameter; the storage module is electrically connected with the analysis module and stores map data; and a mobile device, which is in communication connection with the server and records a positioning data of the user: and a wearable device, communicatively coupled to the mobile device; when the wearable device is in communication connection with the mobile device, the analysis module of the server provides a health data sharing request message to the wearable device through the mobile device to obtain health data of the user recorded by the wearable device, and the analysis module provides a health advice message according to the physiological data, the physiological normal parameters and the health data of the user.
Preferably, the mobile device comprises: a positioning module for detecting a plurality of positions of the mobile device at a plurality of times; and a mobile storage module for storing the plurality of locations of the mobile device; a mobile communication module, by which the mobile device transmits the plurality of locations to the server; wherein the server compares the plurality of locations of the mobile device at the plurality of times with the map data to determine at least one activity of the user at each of the plurality of locations; the server is in communication connection with a public database and obtains weather data, traffic data and air data of the positions and regional news data of the region where each position is located; wherein the analysis module provides the health advice message according to the physiological data of the user, the physiological normalcy parameters, the at least one activity of the user at each of the plurality of locations, an environmental data corresponding to each of the locations, and the health data.
Preferably, the first sensor module comprises a plurality of pressure sensors and the second sensor module comprises a heart rate sensor.
Preferably, the first sensor module further comprises a gyro sensor.
Preferably, the second sensor module further comprises a blood pressure sensor and a blood oxygen concentration sensor.
Preferably, the second sensor module further comprises a non-invasive blood glucose sensor.
Preferably, the second sensor module further comprises a temperature sensor, a humidity sensor, and an allergen sensor.
Preferably, the mattress device further comprises a control module electrically connected to the first sensor module and the second sensor module.
Preferably, the analysis module is a central processing unit, an artificial intelligence processor or an expert system.
Preferably, the server is a local server or a remote server.
The sleep quality and health condition analysis system provided by the invention has the beneficial effects that the physiological characteristic detection of a user when the user lies is carried out by utilizing the plurality of sensors arranged on the mattress device, the health data recorded by the wearable device is obtained by utilizing the wearable device in communication connection with the mobile device (a mobile phone or a tablet personal computer) used by the user for a long time, the activity judgment of the user when the user is awake (during the activity) is carried out by combining the positioning module of the mobile device and the map data, and the health condition analysis of the user is further carried out according to the plurality of data, so that the health condition suggestion of the user is provided, the concept of the user on health can be effectively improved, and the user can be reminded of the care behavior required to be taken by the current physical condition in real time.
For a better understanding of the features and technical content of the present invention, reference should be made to the following detailed description and accompanying drawings, which are provided for purposes of illustration and description only and are not intended to limit the invention.
Drawings
Fig. 1 is a schematic diagram of a sleep quality and health analysis system according to an embodiment of the present invention.
Fig. 2 is a schematic view of the mattress set of the present invention.
Fig. 3 is a schematic view of a second sensor module of the present invention disposed in a first region.
FIG. 4 is a diagram illustrating the analysis module correlating physiological data of a user during a first time interval with activities of the user during a second time interval according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating a user's journey and activity events during a second time interval.
Detailed Description
The following is a description of the embodiments of the sleep quality and health analysis system disclosed in the present invention with reference to specific embodiments, and those skilled in the art will understand the advantages and effects of the present invention from the disclosure of the present specification. The invention is capable of other and different embodiments and its several details are capable of modification and various other changes, which can be made in various details within the specification and without departing from the spirit and scope of the invention. The drawings of the present invention are for illustrative purposes only and are not intended to be drawn to scale. The following embodiments will further explain the related art of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
It will be understood that, although the terms "first," "second," "third," etc. may be used herein to describe various components or signals, these components or signals should not be limited by these terms. These terms are used primarily to distinguish one element from another element or from one signal to another signal. In addition, the term "or" as used herein should be taken to include any one or combination of more of the associated listed items as the case may be.
[ first embodiment ]
Referring to fig. 1, 2, 3, 4 and 5, fig. 1 is a schematic diagram of a sleep quality and health status analysis system according to an embodiment of the present invention. Fig. 2 is a schematic view of the mattress set of the present invention. Fig. 3 is a schematic view of a second sensor module of the present invention disposed in a first region. FIG. 4 is a diagram illustrating the analysis module correlating physiological data of a user during a first time interval with activities of the user during a second time interval according to an embodiment of the present invention. FIG. 5 is a schematic diagram of a user's journey during a second time interval in the present invention.
In the present embodiment, the sleep quality and health status analysis system SYS1 includes a mattress device 1, a server 2, a mobile device 3, and a wearable device 5. The server 2 may be a local server or a remote server, which is not limited in the present invention.
The mattress device 1 includes a mattress body 10, an air bag module 11, a control module 12, a first sensor module 13 and a second sensor module 14. The first sensor module 13 comprises pressure sensors 13A-1, 13A-2 and at least gyroscope sensors 13B-1, 13B-2. The second sensor module 14 is disposed in the first region 14A and the second region 14B. The first area 14A and the second area 14B are respectively provided with a heart rate sensor 141, a blood pressure sensor 142, a blood oxygen concentration sensor 143 and a non-invasive blood glucose sensor 144. That is, in the present embodiment, the second sensor module 14 includes two heart rate sensors 141, two blood pressure sensors 142, two blood oxygen concentration sensors 143, and two non-invasive blood glucose sensors 144. The control module 12 is electrically connected to the first sensor module 13 and the second sensor module 14. In the present embodiment, the control module 12 includes a pump (pump) and an inflator valve for connecting the airbag module 11 to inflate and deflate the airbag module 11.
The user can sleep and rest on the mattress device 1 during a first time interval T1. The first sensor module 13 and the second sensor module 14 can respectively collect the first type sensing signal and the second type sensing signal. In the present embodiment, the first type sensing signal belongs to sensing signals that are continuous in the first time interval T1, such as a pressure sensing signal and a gyroscope sensing signal. The second type of sensing signal is a non-continuous sensor signal, and the user can perform the test detection of heart rate, blood pressure, blood oxygen concentration and blood sugar by the heart rate sensor 141, the blood pressure sensor 142, the blood oxygen concentration sensor 143 and the non-invasive blood sugar sensor 144 of the second sensor module 14 at the start time (before sleeping) and the end time (before getting up) of lying on the mattress device 1.
In this embodiment, the second sensor module 14 further includes a temperature sensor 145, a humidity sensor 146, and an allergen sensor 147.
Temperature sensor 145, moisture sensor 146, and allergen sensor 147 may be located in close proximity to detect the temperature, moisture, and development of allergic microorganisms in mattress assembly 12. Such as both sides of the mattress arrangement 1.
In the present embodiment, the allergen sensor 147 is a Micro Electro Mechanical Systems (MEMS) sensor for detecting various human allergens, such as dust mites, bacteria, mold, hair, etc. The allergen sensor detects and samples the allergens in the set area. At the same time, the sensing signals of the temperature sensor 145 and the humidity sensor 146 are transmitted to the analysis module 21 of the server 2. The analysis module 21 performs calculation of allergen concentration variation according to the sensing signal. The method of allergen concentration first senses the allergen sensor multiple times in a sensing time interval to generate multiple allergen concentrations. The allergen concentrations are then averaged to thereby produce a current allergen concentration, 13 or one of the allergen concentrations is selected as the current allergen concentration. The method for selecting one of the allergen concentrations may be to select the allergen concentration at an intermediate value, which is not limited by the present invention.
In the present embodiment, the present temperature sensing method first senses the ambient temperature for a plurality of times in a sensing time interval to generate a plurality of ambient temperatures. Then, the ambient temperatures are averaged to generate a current temperature, or one of the ambient temperatures is selected as the current temperature. The method of selecting one of the ambient temperatures may be to select the ambient temperature at an intermediate value, which is not limited by the present invention. Similarly, the current humidity sensing method is substantially similar to the current temperature sensing method, and therefore, the description thereof is omitted here.
The server 2 calculates a possible change curve of the allergen according to the allergen sensing signal, the temperature sensing signal and the humidity sensing signal, and further can judge the date when the allergen may exceed the standard according to the allergen change curve so as to provide a notification signal for the user to remind the user of the washing time of the mattress.
The server 2 is in communication connection with the mattress device 1 and receives the first type sensing signal and the second type sensing signal. In the present embodiment, the server 2 is communicatively connected to the mattress device 1 using a wireless fidelity communication protocol (Wi-Fi).
In the present embodiment, the server 2 includes an analysis module 21, a storage module 22 and a communication module 23. The server 2 is communicatively connected to the mattress device 1 by the communication module 23, and receives the first type sensing signal and the second type sensing signal.
The analysis module 21, disposed in the server 2, calculates a sleep quality assessment value according to the first type sensing signal. The first type of sensing signal includes a pressure sensing signal and a gyroscope sensing signal.
In addition, the analysis module 21 can also calculate the physiological data of the user according to the heart rate sensing signal, the blood pressure sensing signal and the blood oxygen concentration sensing signal of the second type sensing signal. In this embodiment, the analysis module 21 provides the heart rate value, the blood pressure value (including systolic pressure and diastolic pressure), and the maximum oxygen content of the user. Furthermore, the analysis module 21 can compare the physiological data of the users with the physiological normal state parameters in the database (not shown) of the server 2 to obtain a physiological data comparison result. The storage module 22 is electrically connected to the analysis module 21. The storage module 22 stores a map data. In the present embodiment, the analysis module 21 may be a Central Processing Unit (CPU), an artificial intelligence processor or an expert system.
The mobile device 3 may be communicatively coupled to the server 2 via a fourth generation mobile communication protocol or a fifth generation mobile communication protocol. The mobile device 3 is in communication connection with the wearable device 5. In the present embodiment, the mobile device 3 is communicatively connected to the wearable device 5 by using a Bluetooth communication protocol (Bluetooth protocol). In other embodiments, the mobile device 3 may be communicatively coupled to the wearable device 5 using other communication protocols, which are not limited in the present disclosure. The wearable device 5 may be a wearable health bracelet device, a wearable watch device, a wearable glasses device, or a wearable arm ring, which is not limited in the present invention.
The mobile device 3 includes a control module 30, a positioning module 31, a mobile storage module 32, a mobile communication module 33 and a display module 34. The control module 30 is electrically connected to the positioning module 31, the mobile storage module 32, the mobile communication module 33 and the display module 34.
The positioning module 31 detects a plurality of positions of the mobile device 3 at a plurality of times. In the present embodiment, the positioning module 31 is a gps positioning module, that is, the positioning module 31 continuously or periodically detects the position of the mobile device 3. And the positioning module 31 will record the detection time at the same time. The mobile device 3 stores the information of the position and the recording time of the mobile device 3 detected by the positioning module 31 in the mobile storage module 32. Then, the mobile device 3 uses the mobile communication module 33 to transmit the information such as the location and the recorded time of the mobile device 3 to the server 2.
Next, the server 2 compares the plurality of positions of the mobile device at the plurality of times and the corresponding time information with the map data in the storage module 22 of the server 2 to determine at least one activity of the user at each position.
The wearable device 5 records a health data of the user, such as the number of steps taken per day, dynamic heart rate data, dynamic blood pressure data, etc. In this embodiment, the mobile device 3 may be communicatively connected to a plurality of wearable devices, and the number of the wearable devices may be adjusted according to actual requirements, which is not limited in the present invention.
When the wearable device 5 is communicatively connected to the mobile device 3, the analysis module 21 of the server 2 provides a health data sharing request message to the wearable device 5 through the mobile device 3 to obtain the health data of the user recorded by the wearable device 5. When the server 2 receives the health data recorded by the wearable device 5, the analysis module 21 of the server 2 provides a health advice message according to the physiological data, physiological normal parameters and health data provided by the wearable device 5 of the user recorded by the mattress device 1.
Referring to fig. 4, first, the server 2 selects a position where the user stays for more than half an hour or one hour. These locations are then marked on the map data. Then, it is judged whether the user is engaged in public business, dining, or sports based on various store information, traffic information, or company data in the vicinity of the location. Such as the first position P1, the second position P2, the third position P3, the fourth position P4, and the fifth position P5 in fig. 4. In this embodiment, a number of positions with dwell times of less than half an hour or one hour between each position are omitted.
Furthermore, the server 2 is connected to at least one public database 4 by using the communication module 23 to obtain weather data, traffic data, air data of the location of the user and regional news data of the region of each location.
Then, the analysis module 21 provides a health advice message according to a plurality of physiological data of the user, a plurality of physiological normal parameters, at least one activity of the user at each location, and environmental data corresponding to each location. The environment data includes weather data, traffic data, air data, regional news data of the region where each location is located, and the like, and is not limited in the present invention.
In addition, referring to fig. 5, a first path W1, a second path W2, a third path W3, a fourth path W4 and a fifth path W5 are respectively located between the first position P1, the second position P2, the third position P3, the fourth position P4 and the fifth position P5. The analysis module 21 may compare the current traffic data according to the time spent by the user on the first path W1, the second path W2, the third path W3, the fourth path W4 and the fifth path W5 to determine the emotional response of the user during the travel. For example: in the embodiment, the analysis module 21 converts the emotion determination into an emotion estimation value, which may be anxiety, fidgetiness, or concentration when driving on a highway. As an item of health advice. In fig. 5, the analysis module 21 also calculates possible events EV5-EV7 from the health data provided by the wearable device 5.
Here, the analysis module 21 marks the physiological data according to the specific and attentive physiological data in the comparison result of the physiological data. In particular to a plurality of physiological data which exceed or do not reach the physiological normal parameter in the comparison result of the physiological data of the user.
The analysis module 21 provides a health condition suggestion according to a plurality of physiological data, a plurality of physiological normal state parameters, at least one activity of the user at each position, weather data, traffic data, air data corresponding to each position, and regional news data of a region where each position is located. The user's health advice is provided to the user by the mobile device 3. In this embodiment, the health condition advice includes: possible factors of the current physiological condition and health improvement scheme, which can be adjusted according to the actual needs, are not limited in the present invention.
The storage module 23 stores various parameters such as activities, diseases, suggestions and the like corresponding to heart rate values, blood pressure values (including systolic pressure and diastolic pressure), maximum oxygen content and sleep quality assessment parameters, and corresponding weights. In the present embodiment, the analysis module 21 utilizes a decision tree induction algorithm or a neural network algorithm to deduce and calculate the health condition suggestion.
In this embodiment, the mobile device 3 includes a first program, which can receive the physiological data of the user and the sleep quality assessment parameters provided by the server 2, and let the user control the air bag module 11 of the mattress device 1 by using the mobile device 2.
As shown in fig. 4, the analysis module 21 establishes a possible event EV1-EV4 and a possible event EV5-EV7 in a second time interval T2 according to the information corresponding to the plurality of locations of the user and the health data provided by the wearable device 5, and further performs a correlation analysis with the physiological data S1-S4 of the user detected in the first time interval T1, and the analysis module 21 provides the health condition suggestion to the user after completing the correlation analysis. In the present embodiment, the first time interval T1 and the second time interval T2 are night time and day time, respectively. In other embodiments, the first time interval T1 and the second time interval T2 can be day and night, respectively, and are not limited in the present invention.
[ advantageous effects of the embodiments ]
The sleep quality and health condition analysis system provided by the invention has the beneficial effects that the physiological characteristic detection of a user when the user lies is carried out by utilizing the plurality of sensors arranged on the mattress device, the health data recorded by the wearable device is obtained by utilizing the wearable device in communication connection with the mobile device (a mobile phone or a tablet personal computer) used by the user for a long time, the activity judgment of the user when the user is awake (during the activity) is carried out by combining the positioning module of the mobile device and the map data, and the health condition analysis of the user is further carried out according to the plurality of data, so that the health condition suggestion of the user is provided, the concept of the user on health can be effectively improved, and the user can be reminded of the care behavior required to be taken by the current physical condition in real time.
The disclosure is only a preferred embodiment of the invention and should not be taken as limiting the scope of the invention, so that the invention is not limited by the disclosure of the specification and drawings.

Claims (10)

1. A sleep quality and health analysis system, comprising:
a mattress device comprising a first sensor module and a second sensor module, wherein a user lies on the mattress device during a first time interval, the first sensor module and the second sensor module respectively collecting a first type sensing signal and a second type sensing signal of the user during the first time interval;
a server communicatively coupled to the mattress assembly and receiving the first sensing signal and the second sensing signal, the server comprising:
the analysis module is arranged in the server and is used for obtaining a plurality of physiological data of the user according to the first type sensing signal and the second type sensing signal, and the analysis module is used for comparing one of the plurality of physiological data of the user with a corresponding physiological normal parameter; and
the storage module is electrically connected with the analysis module and stores map data; and
a mobile device, communicatively connected to the server, for recording a positioning data of the user: and
a wearable device, communicatively coupled to the mobile device;
when the wearable device is in communication connection with the mobile device, the analysis module of the server provides a health data sharing request message to the wearable device through the mobile device to obtain health data of the user recorded by the wearable device, and the analysis module provides a health advice message according to the physiological data, the physiological normal parameters and the health data of the user.
2. The sleep quality and health analysis system of claim 1, wherein the mobile device comprises:
a positioning module for detecting a plurality of positions of the mobile device at a plurality of times; and
a mobile storage module storing the plurality of locations of the mobile device;
a mobile communication module, by which the mobile device transmits the plurality of locations to the server;
wherein the server compares the plurality of locations of the mobile device at the plurality of times with the map data to determine at least one activity of the user at each of the plurality of locations;
the server is in communication connection with a public database and obtains weather data, traffic data and air data of the positions and regional news data of the region where each position is located;
wherein the analysis module provides the health advice message according to the physiological data of the user, the physiological normalcy parameters, the at least one activity of the user at each of the plurality of locations, an environmental data corresponding to each of the locations, and the health data.
3. The sleep quality and health analysis system of claim 1, wherein the first sensor module comprises a plurality of pressure sensors and the second sensor module comprises a heart rate sensor.
4. The sleep quality and health analysis system of claim 3, wherein the first sensor module further comprises a gyroscope sensor.
5. The sleep quality and health analysis system of claim 4, wherein the second sensor module further comprises a blood pressure sensor and a blood oxygen concentration sensor.
6. The sleep quality and health analysis system of claim 4, wherein the second sensor module further comprises a non-invasive blood glucose sensor.
7. The sleep quality and health analysis system of claim 4, wherein the second sensor module further comprises a temperature sensor, a humidity sensor, and an allergen sensor.
8. The sleep quality and health analysis system of claim 5, wherein the mattress assembly further comprises a control module electrically connected to the first sensor module and the second sensor module.
9. The sleep quality and health analysis system of claim 1, wherein the analysis module is a central processing unit, an artificial intelligence processor, or an expert system.
10. The sleep quality and health analysis system of claim 1, wherein the server is a local server or a remote server.
CN201910584809.6A 2019-07-01 2019-07-01 Sleep quality and health condition analysis system Pending CN112168154A (en)

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