CN107767956A - A kind of health risk assessment and management method based on biological electricity induction technology - Google Patents

A kind of health risk assessment and management method based on biological electricity induction technology Download PDF

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Publication number
CN107767956A
CN107767956A CN201711021638.3A CN201711021638A CN107767956A CN 107767956 A CN107767956 A CN 107767956A CN 201711021638 A CN201711021638 A CN 201711021638A CN 107767956 A CN107767956 A CN 107767956A
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data
health risk
health
human body
physiological data
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侯永捷
李向东
王佳名
李宏兵
张晓红
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Huisianpu Medical System Inc
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Huisianpu Medical System Inc
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    • 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
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055Simultaneously evaluating both cardiovascular condition and temperature

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

Abstract

The invention discloses a kind of health risk assessment and management method based on biological electricity induction technology.This method includes:Human body physiological data is gathered in preset time period by biopotential sensor;Abnormal data in each human body physiological data is filtered out;With reference to personal stage animation, the first health risk coefficient is determined;With reference to climatic environment data, the second health risk coefficient is determined;With reference to relationship heredity medication history, the 3rd health risk coefficient is determined;According to health risk coefficient generation personal health management report corresponding to each human body physiological data.The present invention is accurately and reliably gathered using biopotential sensor to each physiological data of human body, by to three class physiological datas, health risk coefficient is determined respectively with reference to personal, weather and inherent cause, accurately and reliably, the data for participating in assessing are comprehensive, and classify and assess for the data gathered, assessment factor considers comprehensive, health risk coefficient is specifically accurate, and reliability is high, ensure that the validity of health evaluating management result.

Description

A kind of health risk assessment and management method based on biological electricity induction technology
Technical field
The present invention relates to medical treatment & health evaluation areas, more particularly relates to a kind of healthy wind based on biological electricity induction technology Danger is assessed and management method.
Background technology
The prevention of chronic disease is mainly the three early measures of " early diagnosis, early discovery, early treatment ".The purpose of medicine body is only It is to find with patient existing disease, have basic gap with the prevention theory of " preventing trouble before it happens ", treat disease When being found, patient has often occupy the middle and advanced stage of disease.Routine physical examination could be given after often lesion can only occurring to body Go out the judgement of " normal " or " abnormal ", to being in disease incubation period in other words between " normal " and "abnormal" stage, When great risk simply be present, then valuable judgement can not be provided.Therefore, in the diversified today of living, it is strong to manage itself Health already turns into the problem of very urgent.
Health control is the health by understanding people, manages the health of people, so as to improve the health of people, refers to one Kind carries out the process of comprehensive management to personal or crowd health risk factors.However, in traditional health control method due to The project of health evaluating is not comprehensive enough, and some unmentionable diseases can not detect, unhealthful to assess management result.
In summary, health risk assessment management of the prior art, exist because the project of health evaluating is not comprehensive enough, Unhealthful the problem of assessing management result.
The content of the invention
The embodiment of the present invention provides a kind of health risk assessment and management method based on biological electricity induction technology, to solve Certainly exist in the prior art because the project of health evaluating is not comprehensive enough, unhealthful the problem of assessing management result.
The embodiment of the present invention provides a kind of health risk assessment and management method based on biological electricity induction technology, including:
Human body physiological data is gathered in preset time period by biopotential sensor;Wherein, human body physiological data includes: The physiological data relevant with individual, the physiological data relevant with weather, and the physiological data relevant with heredity;
Each human body physiological data in preset time period is collected respectively;By the abnormal data in each human body physiological data Filter out, and by the normal data classification storage in each human body physiological data into acquisition database;
With reference to personal stage animation, by physiological data relevant with individual in acquisition database and corresponding personal people Body normal index data are contrasted, and assess the first health risk grade;And by the first health risk grade and the first weight The product of value as the first health risk coefficient, wherein, the first weighted value is the numerical value relevant with individual factor;
With reference to climatic environment data, by physiological data relevant with weather in acquisition database with corresponding to personal human body just Normal achievement data is contrasted, and assesses the second health risk grade;And by the second health risk grade and the second weighted value Product as the second health risk coefficient, wherein, the second weighted value is the numerical value relevant with individual factor and climatic factor;
With reference to relationship heredity medication history, by physiological data relevant with heredity in acquisition database with corresponding to personal human body just Normal achievement data is contrasted, and assesses the 3rd health risk grade;And by the 3rd health risk grade and the 3rd weighted value Product as the 3rd health risk coefficient, wherein, the 3rd weighted value is the numerical value relevant with individual factor and relationship inherent cause;
The first health risk coefficient, the second health risk coefficient and the 3rd healthy wind according to corresponding to each human body physiological data Dangerous coefficient, the management report of generation personal health;Wherein, personal health management is reported, including:Health guidance data, health-oriented products Data, health education data and health insurance data.
Preferably, it is described that human body physiological data is gathered in preset time period by biopotential sensor;Specifically include:
By the one low-voltage direct-current electro photoluminescence for being less than physiology benchmark of biomedical information acquisition electrode-induced human body, while Whole body difference is acquired to the electrical conduction value of human body, and the electrical conduction value of human body is divided using data-signal processing module Computer is forwarded to after analysis processing and is shown.
Preferably, the human body physiological data, including:Heart rate HR, core signal ECG and heart rate variability signals HRV.
Preferably, the abnormal data by each human body physiological data filters out, and specifically includes:
Each human body physiological data is contrasted with corresponding human body physiological data average value, when the human body of contrast is given birth to When reason data are more than 8% with the percentage of corresponding human body physiological data average value, the human body physiological data of contrast is filtered out, it is no Then retain.
Preferably, the personal stage animation, including:Sleep state, fatigue state, mood states and feelings of having a meal Condition.
Preferably, by each something lost in physiological data relevant with heredity in acquisition database and human genetic diseases' database Disease data are passed to be contrasted;If it does, then there is hereditary disease;If it does not match, without hereditary disease.
Preferably, the health guidance data, including:Appropriate dietary guide scheme, exercise guidance scheme and medical treatment guidance program.
Preferably, the health-oriented products data, including:Self-test Medical Instruments information, rehabilitation medical device information, health care food Product information and skin care product information.
Preferably, the educational data, including:Health education books, video and lecture courseware.
In the embodiment of the present invention, there is provided a kind of health risk assessment and management method based on biological electricity induction technology, with Prior art is compared, and its advantage is as follows:
The present invention is accurately and reliably gathered using accurate various biopotential sensors to each physiological data of human body, is led to A pair physiological data relevant with individual, the physiological data relevant with weather, and the physiological data relevant with heredity are crossed, with reference to individual People's factor, climatic factor and inherent cause determine health risk coefficient respectively, that is, the data gathered accurately and reliably, participate in what is assessed Data are comprehensive, and classify and assess, and assessment factor considers comprehensive, reliability height specifically more accurate than common health risk grade, from And it ensure that the validity of health evaluating management result.
Further, human body physiological data is obtained using biological inductive technologies, i.e., is gathered using corresponding biopotential sensor Human body physiological data, such as, blood sensor, pyroscan, temperature sensor etc.;Gathered by biopotential sensor Human body physiological data is accurate comprehensively reliable, can directly obtain initial data and carry out complex process, and gatherer process is succinctly square Just.
Further, personal health management report is generated according to specific health risk coefficient, and personal health management is reported Management information is provided in terms of four so that personal health manages comprehensive and reasonable, has the reliable directive significance of science.
Brief description of the drawings
Fig. 1 is a kind of health risk assessment and management method based on biological electricity induction technology provided in an embodiment of the present invention Flow chart.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made Embodiment, belong to the scope of protection of the invention.
Fig. 1 is a kind of health risk assessment and management method based on biological electricity induction technology provided in an embodiment of the present invention Flow chart.As shown in figure 1, this method includes:
Step S1, human body physiological data is gathered in preset time period by biopotential sensor;Wherein, Human Physiology number According to including:The physiological data relevant with individual, the physiological data relevant with weather, and the physiological data relevant with heredity.
Preferably, human body physiological data is gathered in preset time period by biopotential sensor;Specifically include:Pass through life The one low-voltage direct-current electro photoluminescence for being less than physiology benchmark of thing information gathering electrode-induced human body, while in whole body difference to people The electrical conduction value of body is acquired, and is forwarded to after being analyzed and processed using data-signal processing module to the electrical conduction value of human body Computer is simultaneously shown.
It should be noted that biopotential sensor is generally made up of active electrode and digital signal processing module.Due to people Body bioelectrical signals amplitude is faint, is often submerged in various ambient noises, therefore, is generally included in Digital Signal Processing mould special Biological electricity Sense Amplification device.For electrode, the impedance between electrode and skin is as far as possible small, i.e., between electrode and skin Contact well will reduce the displacement that both are likely to occur as far as possible, so as to reduce the complexity of circuit to meet the need of low-power consumption Ask.
Preferably, the human body physiological data in step S1, including:Heart rate HR, core signal ECG and heart rate variability signals HRV。
It should be noted that obtaining human body physiological data using biological inductive technologies, i.e., sensed using corresponding biological electricity Device gathers human body physiological data, such as, blood sensor, pyroscan etc.;The human body gathered by biopotential sensor Physiological data is accurate comprehensively reliable, can directly obtain initial data and carry out complex process, and gatherer process succinctly facilitates.
Step S2, each human body physiological data in preset time period is collected respectively;By in each human body physiological data Abnormal data filters out, and by the normal data classification storage in each human body physiological data into acquisition database.
Preferably, filtering out the abnormal data in each human body physiological data in step S2, specifically includes:
Each human body physiological data is contrasted with corresponding human body physiological data average value, when the human body of contrast is given birth to When reason data are more than 8% with the percentage of corresponding human body physiological data average value, the human body physiological data of contrast is filtered out, it is no Then retain.
It should be noted that filter out due to the abnormal number in human body physiological data caused by measurement error or other reasonses According to ensure that the data reliability for participating in health risk assessment is high.
Step S3, with reference to personal stage animation, by physiological data relevant with individual in acquisition database and correspondingly Personal human normal achievement data is contrasted, and assesses the first health risk grade;And by the first health risk grade with The product of first weighted value as the first health risk coefficient, wherein, the first weighted value is the numerical value relevant with individual factor.
Preferably, the personal stage animation in step S3, including:Sleep state, fatigue state, mood states and eat Meal situation.
Step S4, with reference to climatic environment data, by physiological data relevant with weather in acquisition database and corresponding individual Human normal achievement data contrasted, assess the second health risk grade;And by the second health risk grade and second The product of weighted value as the second health risk coefficient, wherein, the second weighted value is relevant with individual factor and climatic factor Numerical value.
Step S5, with reference to relationship heredity medication history, by physiological data relevant with heredity in acquisition database and corresponding individual Human normal achievement data contrasted, assess the 3rd health risk grade;And by the 3rd health risk grade and the 3rd The product of weighted value as the 3rd health risk coefficient, wherein, the 3rd weighted value is has with individual factor and relationship inherent cause The numerical value of pass.
Preferably, analogy step S5, in the embodiment of the present invention, in addition to step:Will be relevant with heredity in acquisition database Physiological data contrasted with each hereditary disease data in human genetic diseases' database;If it does, then there is hereditary disease;Such as Fruit mismatches, then without hereditary disease.Whether the step is used to search individual from human genetic diseases' database with unrelated with relationship Mutation human genetic diseases so that the inspection to human body is more comprehensive.
It should be noted that above-mentioned steps S1~S5 is the health risk assessment method based on biological inductive technologies;Wherein, Step S3~S5 determines health risk coefficient respectively in terms of three, specifically, health risk grade is determined according to comparing result, Further according to health risk grade and the weighted value relevant with individual factor, climatic factor and inherent cause, health risk system is determined Number, i.e. the common health risk grade of health risk coefficient ratio is specifically accurate, and reliability is high.
Step S6, the first health risk coefficient, the second health risk coefficient and according to corresponding to each human body physiological data Three health risk coefficients, the management report of generation personal health;Wherein, personal health management is reported, including:Health guidance data, Health-oriented products data, health education data and health insurance data.
Preferably, the health guidance data in step S6, including:Appropriate dietary guide scheme, exercise guidance scheme and medical treatment refer to Lead scheme;Health-oriented products data, including:Self-test Medical Instruments information, rehabilitation medical device information, health food information and skin care Product information;Educational data, including:Health education books, video and lecture courseware.
It should be noted that above-mentioned steps S6 is the management process to health risk assessment result.I.e. according to specific strong The generation personal health management report of health risk factor, and personal health management report provides management information in terms of four so that Personal health manages comprehensive and reasonable, has the reliable directive significance of science.
In summary, in the embodiment of the present invention, each physiological data using accurate various biopotential sensors to human body Accurately and reliably gathered, had by a pair physiological data relevant with individual, the physiological data relevant with weather, and with heredity The physiological data of pass, health risk coefficient is determined respectively with reference to individual factor, climatic factor and inherent cause, than common health Risk class is specifically accurate, and reliability is high.
Disclosed above is only several specific embodiments of the present invention, and those skilled in the art can be carried out to the present invention It is various to change with modification without departing from the spirit and scope of the present invention, if these modifications and variations of the present invention belong to the present invention Within the scope of claim and its equivalent technologies, then the present invention is also intended to comprising including these changes and modification.

Claims (9)

1. a kind of health risk assessment and management method based on biological electricity induction technology, it is characterised in that including:
Human body physiological data is gathered in preset time period by biopotential sensor;Wherein, human body physiological data includes:With it is individual The relevant physiological data of people, the physiological data relevant with weather, and the physiological data relevant with heredity;
Each human body physiological data in preset time period is collected respectively;Abnormal data in each human body physiological data is filtered Remove, and by the normal data classification storage in each human body physiological data into acquisition database;
With reference to personal stage animation, by physiological data relevant with individual in acquisition database with corresponding to personal human body just Normal achievement data is contrasted, and assesses the first health risk grade;And by the first health risk grade and the first weighted value Product as the first health risk coefficient, wherein, the first weighted value is the numerical value relevant with individual factor;
With reference to climatic environment data, physiological data relevant with weather in acquisition database and corresponding personal human normal are referred to Mark data are contrasted, and assess the second health risk grade;And by the second health risk grade and the product of the second weighted value As the second health risk coefficient, wherein, the second weighted value is the numerical value relevant with individual factor and climatic factor;
With reference to relationship heredity medication history, physiological data relevant with heredity in acquisition database and corresponding personal human normal are referred to Mark data are contrasted, and assess the 3rd health risk grade;And by the 3rd health risk grade and the product of the 3rd weighted value As the 3rd health risk coefficient, wherein, the 3rd weighted value is the numerical value relevant with individual factor and relationship inherent cause;
The first health risk coefficient, the second health risk coefficient and the 3rd health risk system according to corresponding to each human body physiological data Number, the management report of generation personal health;Wherein, personal health management is reported, including:Health guidance data, health-oriented products data, Health education data and health insurance data.
2. health risk assessment and management method as claimed in claim 1 based on biological electricity induction technology, it is characterised in that It is described that human body physiological data is gathered in preset time period by biopotential sensor;Specifically include:
By the one low-voltage direct-current electro photoluminescence for being less than physiology benchmark of biomedical information acquisition electrode-induced human body, while in whole body Difference is acquired to the electrical conduction value of human body, and the electrical conduction value of human body is carried out at analysis using data-signal processing module Computer is forwarded to after reason and is shown.
3. health risk assessment and management method as claimed in claim 1 based on biological electricity induction technology, it is characterised in that The human body physiological data, including:Heart rate HR, core signal ECG and heart rate variability signals HRV.
4. health risk assessment and management method as claimed in claim 1 based on biological electricity induction technology, it is characterised in that The abnormal data by each human body physiological data filters out, and specifically includes:
Each human body physiological data is contrasted with corresponding human body physiological data average value, when the Human Physiology number of contrast During according to being more than 8% with the percentage of corresponding human body physiological data average value, the human body physiological data of contrast being filtered out, is otherwise protected Stay.
5. health risk assessment and management method as claimed in claim 1 based on biological electricity induction technology, it is characterised in that The personal stage animation, including:Sleep state, fatigue state, mood states and situation of having a meal.
6. health risk assessment and management method as claimed in claim 1 based on biological electricity induction technology, it is characterised in that Also include:By each hereditary disease data in physiological data relevant with heredity in acquisition database and human genetic diseases' database Contrasted;If it does, then there is hereditary disease;If it does not match, without hereditary disease.
7. health risk assessment and management method as claimed in claim 1 based on biological electricity induction technology, it is characterised in that The health guidance data, including:Appropriate dietary guide scheme, exercise guidance scheme and medical treatment guidance program.
8. health risk assessment and management method as claimed in claim 1 based on biological electricity induction technology, it is characterised in that The health-oriented products data, including:Self-test Medical Instruments information, rehabilitation medical device information, health food information and skin care item Information.
9. health risk assessment and management method as claimed in claim 1 based on biological electricity induction technology, it is characterised in that The educational data, including:Health education books, video and lecture courseware.
CN201711021638.3A 2017-10-27 2017-10-27 A kind of health risk assessment and management method based on biological electricity induction technology Pending CN107767956A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110706822A (en) * 2019-09-20 2020-01-17 上海派拉软件股份有限公司 Health management method based on logistic regression model and decision tree model
CN110808102A (en) * 2019-11-01 2020-02-18 广州红腾文化科技有限公司 Information pushing method, system and terminal of health platform
CN112399819A (en) * 2018-07-02 2021-02-23 3M创新有限公司 Sensing system and method for monitoring a time-dependent process
CN113257418A (en) * 2021-03-29 2021-08-13 广州科克里特生命科技有限公司 Risk detection system and method for low back pain
CN114052670A (en) * 2021-11-17 2022-02-18 深圳市盛景基因生物科技有限公司 Health risk assessment method and disease early warning system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105512505A (en) * 2016-01-19 2016-04-20 宇龙计算机通信科技(深圳)有限公司 Health prompting method and terminal equipment
WO2017025905A1 (en) * 2015-08-10 2017-02-16 Koninklijke Philips N.V. Determining metabolic parameters using wearables
CN106503440A (en) * 2016-10-20 2017-03-15 北京工业大学 A kind of wisdom health services system based on healthy big data
CN107169307A (en) * 2017-07-07 2017-09-15 中北大学 Health risk assessment method and apparatus

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017025905A1 (en) * 2015-08-10 2017-02-16 Koninklijke Philips N.V. Determining metabolic parameters using wearables
CN105512505A (en) * 2016-01-19 2016-04-20 宇龙计算机通信科技(深圳)有限公司 Health prompting method and terminal equipment
CN106503440A (en) * 2016-10-20 2017-03-15 北京工业大学 A kind of wisdom health services system based on healthy big data
CN107169307A (en) * 2017-07-07 2017-09-15 中北大学 Health risk assessment method and apparatus

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112399819A (en) * 2018-07-02 2021-02-23 3M创新有限公司 Sensing system and method for monitoring a time-dependent process
CN110706822A (en) * 2019-09-20 2020-01-17 上海派拉软件股份有限公司 Health management method based on logistic regression model and decision tree model
CN110706822B (en) * 2019-09-20 2024-02-02 上海派拉软件股份有限公司 Health management method based on logistic regression model and decision tree model
CN110808102A (en) * 2019-11-01 2020-02-18 广州红腾文化科技有限公司 Information pushing method, system and terminal of health platform
CN113257418A (en) * 2021-03-29 2021-08-13 广州科克里特生命科技有限公司 Risk detection system and method for low back pain
CN114052670A (en) * 2021-11-17 2022-02-18 深圳市盛景基因生物科技有限公司 Health risk assessment method and disease early warning system

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