CN110786827A - Human health analysis method based on intelligent insole - Google Patents
Human health analysis method based on intelligent insole Download PDFInfo
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- CN110786827A CN110786827A CN201910953240.6A CN201910953240A CN110786827A CN 110786827 A CN110786827 A CN 110786827A CN 201910953240 A CN201910953240 A CN 201910953240A CN 110786827 A CN110786827 A CN 110786827A
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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
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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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
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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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
- A61B5/145—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
- A61B5/14532—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 for measuring glucose, e.g. by tissue impedance measurement
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/42—Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems
- A61B5/4261—Evaluating exocrine secretion production
- A61B5/4266—Evaluating exocrine secretion production sweat secretion
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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
- A61B5/6804—Garments; Clothes
- A61B5/6807—Footwear
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/44—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
- G01G19/50—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons having additional measuring devices, e.g. for height
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Abstract
The invention discloses a human health analysis method based on an intelligent insole, wherein the intelligent insole transmits processed basic physiological information to a user mobile phone app; if the basic physiological data of the human body is abnormal, the basic physiological data is transmitted to the user mobile phone app or the doctor mobile phone app through the danger early warning module according to the danger level; transmitting the high-level physiological information acquired by the intelligent insole and the basic human body physiological data information in the user mobile phone app to a background server; the background server transmits the received physiological data to the deep learning module for classification and prediction of the health condition of the human body; the background server transmits the required user physiological data information to the cloud storage for storage; receiving physiological health data of each user screened and processed by a background server; and giving scientific health management suggestions to the user according to the received physiological health data of the user. The invention guarantees the human health by combining real-time health risk response and long-term health management, and achieves comprehensive, scientific and efficient human health management.
Description
Technical Field
The invention relates to the fields of computer information processing, machine learning and medical care, in particular to a human health analysis method based on an intelligent insole.
Background
With the development of various sensor technologies and wireless communication technologies, the high integration of electronic devices, and the development of small wearable health monitoring devices, the new trend of the times is. The human physiological health data is intelligently collected and analyzed, the human health information is monitored in real time, and the health management is scientifically carried out, so that the requirements of people are met.
The foot acupuncture points of the human body are numerous, and various physiological conditions of the human body can be well known by collecting physiological information of the foot of the human body. The intelligent insole is convenient to wear, and redundant burden can not be caused to a user when the physiological health data of the user is collected. When people break out acute diseases, it is very critical to get scientific medical assistance in time. The intelligent insole can analyze the basic health data of a human body in real time, and if the basic health data of the human body is abnormal, the attention of family members and doctors can be reminded in time through the app in the mobile phone.
Disclosure of Invention
The invention aims to provide a human health analysis method based on an intelligent insole, which is characterized in that user physiological health data acquired by the intelligent insole is transmitted to a mobile terminal (app) in real time through wireless transmission (such as a wireless Bluetooth communication technology), and the physiological health condition of a user is analyzed and predicted through machine learning of the user physiological health data.
1. The invention discloses a human health analysis method based on an intelligent insole, which is characterized by comprising the following steps:
the intelligent insole transmits the processed basic physiological information to the mobile phone app of the user; if the basic physiological data of the human body is abnormal, the basic physiological data is transmitted to the user mobile phone app or the doctor mobile phone app through the danger early warning module according to the danger level; transmitting the high-level physiological information acquired by the intelligent insole and the basic human body physiological data information in the user mobile phone app to a background server; the background server transmits the received physiological data to the deep learning module for classification and prediction of the health condition of the human body; forming a report and transmitting the report to the mobile phone app of the user for display; the background server transmits the required user physiological data information to the cloud storage for storage, and the cloud storage reads the user physiological health data;
receiving physiological health data of each user screened and processed by a background server; giving scientific health management suggestions to the user according to the received physiological health data of the user; the user views the basic physiological information of the user through the mobile phone app and the background server deep learning module generates an individual scientific health suggestion.
The invention has the advantages that:
the invention guarantees the human health by combining real-time health risk response and long-term health management, and achieves comprehensive, scientific and efficient human health management.
Drawings
FIG. 1 is a data flow diagram of the human health analysis method flow based on intelligent insoles of the invention;
fig. 2 is a schematic diagram of a result of classifying the specific grades of the danger early warning module.
Detailed Description
The technical solution of the present invention is described in detail below with reference to the accompanying drawings and examples.
The overall idea of the intelligent shoe pad is to analyze the human health condition through the human health data acquired by the intelligent shoe pad, deal with the sudden health risks and carry out scientific human health management.
As shown in FIG. 1, the invention discloses a data flow diagram of a human health analysis method flow based on an intelligent insole. According to the dataflow graph, the flow specifically includes the following processing:
the intelligent insole transmits the processed basic physiological information to the mobile phone app, so that a user can conveniently check the information at any time. If the basic physiological data of the human body are abnormal, the basic physiological data are transmitted to the user mobile phone app or the doctor mobile phone app through the danger early warning module according to the danger level to remind the user mobile phone app or the doctor mobile phone app. The high-level physiological information (such as sweat information and skin dryness information) collected by the intelligent insole and the basic human body physiological data information in the user mobile phone app are transmitted to the background server. The background server transmits the received physiological data to the deep learning module for classification and prediction of the health condition of the human body, forms a report and transmits the report to the mobile phone app of the user for display. The background server transmits important user physiological data information to the cloud storage for storage, and can also read user physiological health data from the cloud storage. The doctor can receive various user physiological health data screened and processed by the background server. The doctor can give scientific health management suggestions to the user according to the received physiological health data of the user, and the user can check the basic physiological information of the user through the mobile phone app and generate scientific health suggestions by the background server deep learning module. Doctors can put forward reasonable health management suggestions according to various physiological data of users.
The basic physiological data comprise the weight, the body temperature, the heart rate, the blood sugar and the like of the human body, can reflect the current health condition of the human body in real time and mainly deal with the sudden health risks. The advanced physiological data is obtained by comprehensively analyzing physiological information such as human gait, diet, mood and the like and various basic physiological information. The deep learning module analyzes various indexes through a deep learning network according to various physiological health data (such as sweat information, skin dryness information and the like of a user) to predict the mood and diet conditions of the human body. And inputting various physiological indexes through a deep learning regression network, scoring the mood status of the user, and displaying 4 levels of no worry, general worry, joy or joy. And analyzing the information of various trace elements of the human body through a deep learning classification network, and predicting the healthy diet condition of the human body. And forming a report, and transmitting the report to the mobile phone app of the user for display and storage in the cloud storage.
The long-term health management of human body is mainly carried out by analyzing and predicting high-grade physiological indexes of human body.
The following illustrates a specific embodiment of the intelligent insole-based human health analysis method of the present invention:
all the physiological health data acquired by the intelligent insole sensor module can be transmitted to the background server. The deep learning module in the background server analyzes and predicts the physiological health condition of the user according to the physiological health data of the user for a period of time, generates a report of the mood condition and a report of the healthy diet condition, and transmits the reports to the mobile phone app of the user and the doctor. The microprocessor of the intelligent insole processes the basic human physiological data to generate a report. And transmitting the data to the mobile phone app in real time in a wireless transmission mode. If the data is abnormal, the mobile phone app takes different measures according to the abnormal level to remind the user of paying attention.
The intelligent insole related to the method comprises a microprocessor module, a communication transmission module, a power supply module and a sensor module. The power supply module of intelligence shoe-pad has avoided the shoe-pad to need the inconvenient problem of repeated charging through the power supply mode of wireless charging. Specifically, the power supply is performed by receiving external Bluetooth signals or wifi signal energy, namely, receiving external electromagnetic wave energy and converting the external electromagnetic wave energy into stable electric energy. The sensor module of intelligence shoe-pad has pressure sensor, skin electricity and reflects sensor, heart rate sensor, temperature sensor, sweat detection sensor, smell sensor, can detect basic body physiological index such as human weight, heart rate, body temperature, blood sugar, sweat and advanced physiological index such as dietary situation, mood. The analysis of the advanced physiological indexes related to the method is carried out in a background server. The background server comprises a deep learning module, and can analyze various human physiological data to provide scientific health management suggestions and perform long-term health management.
The basic physiological data analysis is completed in a built-in microprocessor of the intelligent insole. The microprocessor converts the acquired original physiological information, and the detected basic physiological health information is displayed in real time in a mobile terminal (mobile phone app) through a communication module in the intelligent insole. The user can accurately acquire the self health information in real time, and the basic physiological safety of the user is guaranteed. When the human body is suddenly ill and harms the human health, the mobile terminal (mobile phone app) has a health danger warning function, and when the basic physiological data of the human body is abnormal, different countermeasures can be taken in time according to the abnormal level, so that the damage of the sudden illness to the human body is reduced.
The embodiment comprises the following main implementation steps:
the intelligent insole respectively collects basic physiological information of the weight, the blood sugar, the heart rate and the body temperature of a human body through the pressure sensor, the skin electricity reflection sensor, the heart rate sensor and the temperature sensor.
The microprocessor of the intelligent insole processes the acquired basic physiological information, so that various information can be displayed in the mobile phone app and transmitted to the mobile phone app in real time through the wireless communication module in the intelligent insole. The user can know the basic physiological health condition of the user in real time.
And when the basic physiological health information is abnormal, corresponding countermeasures are taken according to the abnormal level.
Various physiological information collected by the intelligent insole can be transmitted to the background server. The deep learning processing module in the background server can process various physiological information (for example, comprehensively analyze the diet condition of the human body by processing the skin electric information and the sweat information), and comprehensively analyze and provide reasonable suggestions for human health management.
And the background server transmits the processed human health information to the mobile phone app, displays the human health information to the user in a report form mode, and transmits the human health information to the cloud storage for storage.
The background server can transmit the user health information to the mobile phone app of the doctor according to the permission set by the user. The doctor can provide reasonable health management suggestions according to the health information of the user.
All data transmission related to the method adopts a block chain encryption mode, and the transmission safety is ensured.
As shown in fig. 2, a diagram of the result of the specific grade division of the danger early warning module related to the method is shown. The abnormal level of the basic physiological data is divided into 4 levels, and the level 1 belongs to health, so that the user is not required to be particularly reminded of the attention; the level 2 belongs to a sub-health state, and can remind the user of paying attention when the user browses the mobile phone app; level 3 belongs to a non-emergency health abnormal state (such as excessive sweat, serious dehydration, abnormal body temperature and the like of a user in summer), and the user is reminded to take corresponding measures in time; level 4 belongs to an abnormal health state (such as sudden illness), can threaten the life health of the user, and can give an alarm to the user and other persons (doctors, family members, friends and the like) with authority to remind attention.
The present invention is not limited to the specific steps described above. The invention extends to any novel feature or any novel combination of features disclosed in this specification, or to any novel combination of steps. In summary, this summary should not be construed to limit the present invention.
Claims (2)
1. A human health analysis method based on intelligent insoles is characterized in that the method specifically comprises the following steps:
the intelligent insole transmits the processed basic physiological information to the mobile phone app of the user; if the basic physiological data of the human body is abnormal, the basic physiological data is transmitted to the user mobile phone app or the doctor mobile phone app through the danger early warning module according to the danger level; transmitting the high-level physiological information acquired by the intelligent insole and the basic human body physiological data information in the user mobile phone app to a background server; the background server transmits the received physiological data to the deep learning module for classification and prediction of the health condition of the human body; forming a report and transmitting the report to the mobile phone app of the user for display; the background server transmits the required user physiological data information to the cloud storage for storage, and the cloud storage reads the user physiological health data;
receiving physiological health data of each user screened and processed by a background server; giving scientific health management suggestions to the user according to the received physiological health data of the user; the user views the basic physiological information of the user through the mobile phone app and the background server deep learning module generates an individual scientific health suggestion.
2. A human health analysis method based on an intelligent insole is characterized in that all data transmission is carried out in a block chain encryption mode, and transmission safety is guaranteed.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910953240.6A CN110786827A (en) | 2019-10-09 | 2019-10-09 | Human health analysis method based on intelligent insole |
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| CN201910953240.6A CN110786827A (en) | 2019-10-09 | 2019-10-09 | Human health analysis method based on intelligent insole |
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| CN110786827A true CN110786827A (en) | 2020-02-14 |
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| CN104093357A (en) * | 2011-11-29 | 2014-10-08 | 李珍旭 | Shoe insole sensor for diagnosing gait, and shoe insole substrate connected thereto |
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| CN107157485A (en) * | 2017-06-13 | 2017-09-15 | 西安科技大学 | A kind of intellectual monitoring shoe-pad and its intelligent monitor system |
| CN206836390U (en) * | 2017-06-13 | 2018-01-05 | 西安科技大学 | A kind of Intelligent insole monitoring system |
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| CN109358746A (en) * | 2018-09-25 | 2019-02-19 | 东莞青柳新材料有限公司 | A kind of body feeling interaction body examining system based on block chain |
| CN110200597A (en) * | 2019-05-27 | 2019-09-06 | 上海理工大学 | Diabetes Intelligent insole |
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2019
- 2019-10-09 CN CN201910953240.6A patent/CN110786827A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104093357A (en) * | 2011-11-29 | 2014-10-08 | 李珍旭 | Shoe insole sensor for diagnosing gait, and shoe insole substrate connected thereto |
| CN104172641A (en) * | 2014-08-14 | 2014-12-03 | 彭君秀 | Intelligent monitoring method for shoe and insole |
| CN107157485A (en) * | 2017-06-13 | 2017-09-15 | 西安科技大学 | A kind of intellectual monitoring shoe-pad and its intelligent monitor system |
| CN206836390U (en) * | 2017-06-13 | 2018-01-05 | 西安科技大学 | A kind of Intelligent insole monitoring system |
| CN108922585A (en) * | 2018-04-27 | 2018-11-30 | 长春市万易科技有限公司 | A kind of intelligent health bracelet date storage method and system based on block chain |
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Application publication date: 20200214 |