57 results about "Health intervention" patented technology

A health monitoring and management device, system, and / or method can include a sensor adapted to detect changes in one or more health indicators and transmit data related to the health indicators. The system can further include an interventional element adapted to receive a health intervention command and provide a health intervention related to the health indicators. The system can further include a microprocessor adapted to receive and analyze the health indicator data transmitted by the sensor, formulate the health intervention command related to the health indicator data according to pre-determined parameters, and transmit the health intervention command to the interventional element. The health intervention command can be transmitted to the interventional element within a clinically relevant time period.

The invention discloses a health protection robot system and a data processing method thereof, and relates to the field of medical care, in particular to an intelligent health protection system which is used for integrating fragmented health data so as to realize scientific user health behavior intervention. The invention aims to provide a health protection system which has the advantages of being simple in structure, low in cost and convenient in operation, integrates the fragmented health data, carries out intelligent analysis and carries out intervention on the user health behavior by the system. The health protection robot system comprises an acquisition module, a server and a terminal, wherein the acquisition module is used for collecting the health and medical care data of a user; the server carries out comparison, analysis and model operation through the uploaded health and medical care data, generates a health data summarization and evaluation report and a health intervention scheme, and provides control and support for the operation of a virtual robot; and the terminal is used for a registered user to carry out login, causes the registered user to receive the health data in the acquisition module and is provided with a display module used for displaying the health data and system functions.

The invention provides an interactive type autonomous heath management system and method. Through a multistage data processing interactive mode, health intervention guidance is carried out so that a conventional health guidance mode is changed, and the disadvantages of incapability of supervision and implementation process examination are avoided. Furthermore, the method which continuously encourages users to achieve current data layer grade targets to obtain grade upgrading helps the users to actively improve adverse lifestyles and gradually establish good living habits under influences so that good social effects of automatic, active and happy involvement in improving and enjoying health are realized. The system provided by the invention comprises a health management server and a mobile terminal, wherein the health management server and the mobile terminal are mutually connected through the Internet.

The invention discloses construction of a chronic disease risk assessment hyperbolic model and a disease predication system applying the chronic disease risk assessment hyperbolic model. A Shandong multi-center health management longitudinal observation queue is constructed according to longitudinal health management data of more than 20 health management centers in Shandong province to study the actions of heredity, environment, individual life style, health intervention factors and the like on the processes of outbreak, development and lapse of a major chronic disease, the risk assessment hyperbolic model suitable for various chronic diseases for health examination people of Shandong province and the disease predication system are established, and the scientific evidences are provided for the health intervention of the chronic diseases.

The invention discloses a cloud health management system with intelligent nutrition intervention as a core on the basis of chronic diseases. The system comprises a human health information data acquisition unit, a food information acquisition unit, a diet metering unit, a data processing unit, a user terminal and a monitoring terminal, wherein the human health information data acquisition unit is used for acquiring human health information data, the food information acquisition unit is used for acquiring nutrition and function information of foods planned to be take in, the diet metering unit is used for metering the quantity of the foods planned to be take in, the data processing unit is used for generating a health intervention plan and a fee payment instruction according to a preset health intervention scheme and the human health information data, the quantity of the foods and the nutrition and function information of the foods, the user terminal is used for receiving the intervention plan and the fee payment instruction and displaying the intervention plan and the fee payment instruction to a user, and the monitoring terminal is used for conducting data interaction with the data processing unit and the user terminal. By means of design of the cloud health management system with intelligent nutrition intervention as the core on the basis of chronic diseases, the intelligent comprehensive management of health and nutrition of broad masses can be achieved, it is favorable for improving the health condition of citizens, and the cloud health management system has greatly social economic value.

The described invention provides a method, a system and non-transitory computer readable medium storing computer program instructions that when executed on a processor cause communicatively linked clinical outcome tracking and analysis modules to perform operations that use CNA-guided care to improve clinical outcomes at a specific patient level and to decrease total cost of care at the population level.Computer program instructions when executed on a processor comprising a first clinical outcome tracking and analysis module causes the first clinical outcome and tracking module to account for biological variance up front by grouping patients in the patient population, thereby effectively removing biological variance as a factor in value of care, and leaving treatment variance as a predominant factor in treatment outcome by receiving, sorting, and classifying personal health information, the latter by generating and assigning a plurality of Clinical outcome tracking and analysis Nodal Addresses (CNAs), each CNA representing a discrete punctuated string of digits comprising a prefix, a middle and a suffix that each represent a set of preselected variables that partition the sorted and classified information into a clinically relevant set of information.The first clinical outcome tracking and analysis (COTA) module tracks consequences of treatment choices and reports on outcomes associated with the use of these CNAs.CNA-guided care, which has two faces, operates through the application of CNAs, and is formed by the triad of a health care provider, a payer, and the patient who is suffering from a disease.The first face, the enabling tool, comprises interactions between a medical care provider, a computer containing a processor comprising a first clinical outcome tracking and analysis (COTA) module, a first client device comprising a second COTA module that is communicatively linked to the first COTA module via a network, and a payer. The payer transmits to the processor comprising the first COTA module via the second COTA module information identifying a health care service under consideration for the patient whose health plan benefits cover the service and other variables selected by the payer. In response, the first COTA module transmits to the second COTA module, (1) the clinical outcome data for the appropriate CNA, (2) the behavioral variance data for each medical provider at the appropriate CNA; (3) a cost report comprising cost data in real time for treating each patient in the patient population assigned to the appropriate CNA; and (4) one or more graphic analyses correlating cost of care to clinical outcome. If this information is sufficient to establish that the medical service is an appropriate delivery or level of service, considering potential benefits and harms to the patient; that the medical service is effective in improving health outcome by improving clinical outcomes and reducing total cost of care; that the service is cost-effective for the medical condition being treated and the clinical outcome, compared to alternative health interventions or no intervention; and that the service follows generally accepted medical practice, the payer then can approve payment to the medical care provider for the service.The second face, which comprises interactions between the computer containing a processor comprising the first COTA module, a second client device comprising a third COTA module that is communicatively linked to the first COTA module via a network and the patient provide for communications between the processor comprising the first COTA module and the communicatively linked third client device comprising the third COTA module that provide information sufficient for a complete medical evaluation of the patient and for assigning a CNA to the patient. The CNA then is used to enable a patient with a condition to select an optimal care plan with a reduced risk of adverse variance and a medical professional based on geography, clinical outcome, cost and other patient-set criteria within the CNA. The assigned CNA can be associated with one or more bundles of predetermined patient care services for treatment of the condition, which can provide a predetermined course of treatment, cost certainty, or both. Once the patient selects a medical professional that meets one or more of geographical, cost and clinical outcome needs of the patient, the first COTA module can be communicatively linked to a computing device at the selected medical professional's office to facilitate scheduling of an appointment.

Certain embodiments of the present invention relate generally to using machine learning or other automated techniques to among other things, identify, estimate, and / or predict patient health conditions. Furthermore, certain embodiments of the present invention are related to health interventions performed to reduce the risk of developing diseases and health conditions. This risk reduction improves the overall health of the individual and / or the population and helps reduce healthcare costs.

The invention discloses an automatic and intelligent nature-man united health intervention scheme generation system and relates to the field of software programs. The system comprises a data information collection module, an evaluation analysis module and an intervention scheme generation module, wherein according to the data information collection module, western medicine physical examination data, traditional Chinese medicine symptom and sign data and disease data of a target individual are acquired, and all the data of the target individual is quantized to obtain a quantized result; according to the evaluation analysis module, assignment is performed on each basic item of the individual in advance, then basic health data of the target individual is obtained according to information of the basic items of the target individual, and meanwhile the constitution of the target individual is obtained on the basis of the quantized result, wherein the constitution comprises one of or a combination of any of a gentle constitution, an unusual constitution, a damp heat constitution, a yang-deficient constitution, a yin-deficient constitution, a qi-deficient constitution, a phlegm-damp constitution, a qi depression constitution and a blood stasis constitution; and according to the intervention scheme generation module, different health management schemes are designated according to the constitution of the target individual. Through the system, the problem of patient compliance is solved, and the health philosophy of traditional Chinese medicine is fused into the life of common people.

The present invention discloses a disease prediction system. The disease prediction system comprises a data arrangement module, a data analysis module and a data management module. The data arrangement module is used for processing acquired medical data of the personnel to obtain medical characteristic data of the personnel, and the medical characteristic data comprises blood routine characteristic data and partial blood biochemical characteristic data. The data analysis module is used for processing the medical characteristic data through a preset analysis model to determine the cancer prediction result of the person, and the preset analysis model comprises at least one of a logistic regression model and a relative entropy model. The data management module is used for managing data in thedisease prediction system. Thus, by means of professional knowledge in the cancer field, the cancer onset risks of the personnel can be determined by selecting specific medical characteristic data and processing the medical characteristic data through a mathematical model. Based on this, health assessment and health intervention can be performed on people to achieve prediction and prevention of cancer.

The embodiment of the invention provides a medical sub-health intervention resource allocation management method and device based on artificial intelligence, and the method comprises the steps: obtaining a universal model matched with a target enterprise from a database, and carrying out the training of the obtained universal model according to a training sample of the target enterprise, so as toobtain a demand model corresponding to the target enterprise; testing the demand model according to the test sample of the target enterprise. The method comprises the following steps: obtaining the accuracy of a demand model according to the accuracy of the demand model, modifying the influence weight of each influence factor in a training sample and the training sample according to the accuracy of the demand model, and continuing to train the demand model by using the modified training sample until the accuracy of the obtained demand model meets the preset accuracy requirement. Through the resource allocation method, personalized training can be performed by combining the characteristics of the enterprise on the basis of the existing universal model so as to obtain the demand model whichmeets the expected requirements and is matched with the enterprise, and an effective basis is provided for subsequent medical resource allocation of the enterprise.

The invention discloses a health management method based on a large data intelligent algorithm and system. The health management method comprises steps: based on evidence-based medicine, epidemiologyand crowd intervention data, a multi-layer cumulative logistic regression model is established, multi-dimensional individual health measurement indexes and a nutrition and health intervention scheme library are generated, an individual nutrition and health intervention scheme decision tree model is established by using the individual health measurement index information, and an individual nutrition and health intervention scheme is acquired. During the nutrition and health intervention scheme execution process, health assessment is carried out regularly and best intervention effects are achieved. The management system established based on the method is composed of three modules: a personal health information acquisition module, a calculation module and a display and supervision module. Through the health management method and the system, scientific, personalized and traceable health management solutions can be provided for residents.

The invention provides a method for the sport nutrition health intervention based on a cellphone APP. A user carries out the selection of functions on the menu-type autonomous options provided by an APP interface according to the demands through registration and login. The APP is developed through the JAVA J2EE technology and the MySQL database technology, a database is constructed and the analysis and extraction of data is carried out, thereby achieving the athlete dietary advice, medicated conditioning and health product guidance, anti-doping education and community forum functions. According to the invention, the background database is constructed, and a nutrient content adaption algorithm is improved. The system function development and page design are stable in performances. The crashrate reaches 0.1%, and the APP installation package is small. The start speed is high, and the operation function is smooth. The system architecture employs a modular design idea, guarantees the effective integration with other business systems, and fully meets the demands of different development stages.

The invention discloses a mobile health vehicle based health management service system. The system includes a mobile health vehicle unit used for providing a health management service carrier; a vehicle server unit used for data processing; a health survey inquiry unit used for health management service; and a health detection platform used for the health management service. According to the invention, through paying more attention on background big data management and big data analysis, the system is not merely a tool for chronic disease screening. The medical service providing and health management vehicle is adopted as basic facility for basic data collection, collected health data is merged into a top layer health management data center stage by stage. The heath management data centeranalyzes and evaluates health condition of residents and epidemiologic features of chronic diseases. Therefore, health intervention measures are provided to the residents and basis is provided for thegovernment in related policy introduction.

The invention relates to a resident health early warning method, device, equipment and system based on big data. According to the scheme, firstly, a system implementation path for carrying out health intervention based on a health risk assessment model is established, and secondly, a model dynamic evolution method based on health intervention is provided, so that an application closed loop for health data acquisition, health risk assessment modeling, health risk intervention and assessment model evolution is realized; therefore, socialized application of the health big data can be truly and better realized.

The present invention discloses a disease prediction system. The disease prediction system comprises a data arrangement module, a data analysis module and a data management module. The data arrangement module is used for processing the acquired medical data of the personnel to obtain medical characteristic data of the personnel, and the medical characteristic data comprises blood routine characteristic data and partial blood biochemical characteristic data. The data analysis module is used for processing the medical characteristic data through a preset analysis model to determine the cancer prediction result of the person, and the preset analysis model at least comprises a gradient boosting decision tree model. The data management module is used for managing data in the disease predictionsystem. Thus, by means of professional knowledge in the cancer field, the cancer onset risk of a person can be determined by selecting specific medical characteristic data and processing the medical characteristic data through a mathematical model. Based on this, health assessment and health intervention can be performed on people to achieve prediction and prevention of cancer.

The invention relates to the technical field of health management and particularly relates to a health management method and system based on self-service chronic disease intervention. The system includes a central server and a resident user mobile terminal, wherein the physical health of residents is checked through a community health service center, a disease control center, a health room and household inspection devices, physical health data of the residents are generated, a data storage module is electrically connected with a resident health intervention module, a resident health intervention unit is electrically connected with the central server, and a resident health record information module and a chronic disease health record module are electrically connected with a database. The system is advantaged in that through building self-service body testing instruments in the health room, the residents can understand their physical condition at any time, the ability of the community tomanage their own health is improved, and residents' awareness and the control rate of their own chronic diseases are further improved.

The invention discloses a family health assessment and intervention system based on intelligent rehabilitation equipment. The family health assessment and intervention system comprises a data acquisition module, a simulation modeling and assessment module and a health intervention module, wherein the data acquisition module is used for acquiring the health state and home environment data of an individual in real time and transmitting the acquired health state and home environment data to the simulation modeling and assessment module, and the home environment data can be an indoor home environment, a community environment and the like; the health intervention module generates health intervention data of the individual according to the individual evaluation condition and the health intervention strategy of the simulation modeling and assessment module. According to the invention, reasonable scheduling of medical resources under household rehabilitation intervention and closed-loop services of families, communities and hospitals is realized, consumers are promoted to participate in health management and maintenance centers more actively, the management level of medical and health institutions is improved, and the service capability of hospitals is improved.

The invention discloses a 3-D health intervention method for women of child-bearing age based on the network reporting system. The method is characterized in that an analysis for the causes of the death of women of child-bearing age is performed by using the network direct reporting system of individual cases of the death of women of child-bearing age, and a 3-D intervention method for health of women of child-bearing age is formulated and implemented with the death rate of women of child-bearing age as an evaluation standard. The 3-D health intervention method has the advantages of: forming a 3-D intervention scheme by adopting an integral standard; researching the composition and influencing factors of the death of the women of child-bearing age according to the requirement of national all death cause investigation based on the network direct reporting system of individual cases of death of women of child-bearing age; investigating causes endangering the life and health of the women of child-bearing age; providing scientific basis for enacting prevention and intervention measures; ensuring the timeliness and accuracy of the statistics data of death causes of women of child-bearing age, and further ensuring the rationality and feasibility of 3-D intervention schemes for the health of the women of child-bearing age; contributing to promoting the safety and life quality of the women of child-bearing age, reducing the death rate of the women of child-bearing age and prolonging average life expectancy of women.

The invention relates to a human body overall physiological function index analyzing method based on chronoclocks. Time is partitioned according to the traditional Chinese medicine chronoclocks, the health condition and the sub-health intervention effect condition are evaluated through statistic analysis of big data of the overall physiological functions of the human body at different chronoclocks. Electrocardiograph (ECG) signals of the human body are collected through an ECG monitor, the signal collecting cycle is 12 chronoclocks, the heart rate, the breathing frequency, the parasympathetic strength and the health degree are calculated, and the sleeping quality is analyzed. On the applicant aspect, the human body overall physiological function index analyzing method based on chronoclocks has the advantages that on the aspect of sleeping medical science, the nerve physiological causes of sleeping problems especially insufficient heavy sleep and excessive light sleep can be confirmed through the analyzing technology, and thus objective evidences can be provided for insomnia medicine or non-medicine treatment and the effect of the insomnia medicine or non-medicine treatment; on the aspect of traditional Chinese medicine, according to the qi and blood behavior rules, expressed in classical traditional Chinese medicine, of the human body at different chronoclocks, the qi and blood channel and viscera causes of the sleep problem can be confirmed through the analyzing technology, and objective evidences can be provided for traditional Chinese medicine conditioning for insomnia and the effect evaluation of the Chinese medicine conditioning for insomnia.

The invention discloses a health intervention system, which relates to the health management technology, so as to solve the problem that a professional can not arrive at the field in an effective treatment time in case of an emergency event. The system comprises a health intervention server, at least one user terminal and at least one professional terminal, wherein the at least one user terminal is used for acquiring current position coordinates and sending a health intervention request; the health intervention server is used for acquiring the position coordinates of at least one professional terminal respectively; a target professional terminal is determined from the at least one professional terminal; the health intervention request is sent to the target professional terminal; the target professional terminal in the at least one professional terminal is used for receiving the health intervention request sent by the health intervention server and displaying the health intervention request to enable the professional to find out the user for health intervention according to the current position coordinates carried by the health intervention request. The system of the invention can be used in fields such as mental health intervention, physiological health intervention and environmental health intervention.

The invention discloses multifunctional professional adjustable health care breast beautifying underwear, wherein a high-energy elastic fiber cloth bag is arranged at lower side of each of two cups, a bag body is arranged in each high-energy elastic fiber cloth bag and each bag body is a rose essential oil and pearl powder bag made from a PU film, three volcanic energy stones are arranged in each rose essential oil and pearl powder bag, and two shoulder straps are widened shoulder straps made from magnetic crystal gold titanium energy cloth. The multifunctional professional adjustable health care breast beautifying underwear disclosed by the invention is specially designed according to the hemisphere breast shape feature of Asian women, point-to-point essential oil, energy stones, high magnetic channel and collateral elastic fabric and the like are arranged at the positions of key acupoints and channels and collaterals, all-around external health interventions are given to breasts, female breasts can be activated for continuous development, and the problems of atrophy, ptosis, outspreading, dark nipples due to lactation or aging are repaired, and the problems of breast cancer, hyperplasia of mammary glands and the like are effectively prevented.

Provided is an intelligent children's lung function test training device. The invention relates to a device which is used for testing and training children's lung functions. The device mainly comprises a detection device in an air-blown state, and the device can be connected to an intelligent mobile terminal. The detection device comprises a shell body, a test circuit board, an air pressure washer and a lithium battery. Children blow toward the detection device, so that certain air pressure is generated in an expiratory tube; the detection device continuously collects pressure data in real time and figures out expiratory volume and peak systolic velocity according to the air pressure and sends data value to the intelligent mobile terminal; through designing an interesting animation game interface, an APP software of the terminal guides the children to make best training effects and can store test results to a background server for reference when doctors make diagnoses. Through the APP software of the terminal, children's parents can interact and communicate with the doctors, and it is convenient for the doctors to conduct health intervention.

The invention relates to a method for rapidly detecting proteolysis bacteria in human excrement and belongs to the technical field of biological detection. The method completely adopts a culture-free molecular microbial ecology without separating strains and can conduct calibration and tracking on proteolysis bacteria in the human intestinal tract in an in-situ state. The method uses the intestinal tract proteolysis bacteria as a target serving as a long-term directional human indicator for health intervention and provides a data support for definition and diagnosis of the stability of human intestinal tract microbial functional flora. In addition, by means of detecting and calibrating the intestinal tract proteolysis bacteria, the relation between the physiological differences of individuals and the response to host energy metabolism can be found. Compared with existing pure culture methods, the method has the advantages that the method is rapid, low in cost and simple and convenient to operate, does not require special personnel training, has no special requirement for detection places, experimental results are accurate, and related data can be quickly provided for a diagnosis worker.

The invention relates to the field of medical care, in particular to a health management system and method based on sleep monitoring. The system comprises a health data acquisition module, an environmental parameter acquisition module, terminal equipment, a cloud platform and an alarm module, wherein the health data acquisition module is used for acquiring health data of a monitored person duringsleep; the environmental parameter acquisition module is used for acquiring environmental parameters of the monitored person; a health management App used for uploading, downloading and browsing information is installed on the terminal equipment, and the terminal equipment is provided with a display module used for displaying health data, a curve fluctuation diagram and a system function; the cloud platform is used for receiving, storing and processing the health data of the terminal equipment, generating a corresponding safety threshold value and comparing the recently received health data with the safety threshold value for analysis; and the alarm module is used for receiving the alarm signal of the cloud platform and giving an alarm prompt. According to the invention, data acquisition,intelligent analysis and integration processing of physical signs of the monitored person in a sleep state can be carried out, alarm reminding is carried out automatically, health intervention is provided automatically, and closed-loop management of health data is formed.

The invention discloses multifunctional specialized adjustable healthcare breast beautifying underwear, wherein a coffee carbon functional cloth bag is arranged on the lower side of each of two cups, a rose essential oil pearl powder bag is arranged in each coffee carbon functional cloth bag, a bag body of the rose essential oil pearl powder bag is made of a PU film, three volcanic energy stones are arranged in each rose essential oil pearl powder bag, and two shoulder straps are widened shoulder straps made of a magnetocrystalline gold titanium energy fabric. The multifunctional specialized adjustable healthcare breast beautifying underwear is specially designed according to the characteristics of the hemisphere breast shape of Asian women, and the essential oil, the energy stones, the high magnetic channel and collateral elastic fabric and the like are matched point to point on important acupoints, channels and collaterals, so that the all-around external health intervention is given to the breast, the woman breast is activated to continue to develop, the chest is enlarged and becomes compact, the excessively brawny lower chest circumference is scientifically shrunk, the chest shrinkage, the sagging breast, the outward expanding chest and the dark nipple, caused by breast feeding or ageing, as well as the nipple retraction are repaired, and the problems of breast cancers, hyperplasia of mammary glands and the like are effectively prevented.

Disclosed is a user health intervention method, which comprises the following steps of acquiring user health data; reading a health intervention database; matching the user health data with the symptom data in the health intervention database, determining target intervention data corresponding to the user health data; determining an intervention plan based on the target intervention data corresponding to the user health data, and prompting a user to execute the intervention plan. The method has the beneficial effects that the user health data is matched with the symptom data in the health intervention database, and target intervention data corresponding to the user health data is determined, and an intervention plan is determined on the basis of the target intervention data; a fitness intervention method applicable to each individual can be provided, the operability is high, the manual intervention process is avoided, and the intervention efficiency is improved, error intervention caused by subjective errors in manual intervention is avoided, and the accuracy of intervention is improved.

The invention discloses a health care method and device for state recovery of the elderly. The health care method includes the steps: sending the change of the grip strength and the change of the number of times through an intelligent grip strength ball to a mobile phone APP terminal by a Bluetooth module, and recording in real-time to prompt and encourage the elderly to insist on the grip strength practice; by means of the old scenes, allowing the elderly to play younger roles, psychological counseling, ability and listening training; and through health intervention through of network, enabling the elderly to achieve and maintain a relatively young state. The health care method has the characteristics of physical, psychological and social adaptability synergy, short-term and long-term integration, intelligence and management integration characteristics. The invention has the advantages of simple structure, strong maneuverability, large expandability of the beneficiary population, considerable social and economic benefits.

The invention discloses a user mental health monitoring method based on a heterogeneous graph and a system, belongs to the technical field of data processing and analysis, and solves the problem of how to establish a personality portrait of a user by adopting the heterogeneous graph through social network text information of the user and physiological information of wearable equipment and carry out detection and early warning on a mental health state of the user. A heterogeneous graph is constructed through text information, personality analysis is carried out on a user by analyzing emotion expressed by a text and user behaviors extracted from the text, so that a user personality portrait is established, text content published by the user in real time is analyzed in combination with the personality portrait, and if the text content is different from a normal state, the physiological information provided by the wearable device of the user is combined for verification, and the mental health state of the user is pre-warned, so that the accuracy of mental health intervention of the user is improved, and the positive effect of mental health monitoring of the user is enhanced.

The invention discloses a monitoring management method and system based on the Internet of Things, and the method comprises the steps: determining a user monitoring type based on user positioning information; according to a user monitoring category, extracting user analysis data from the user health database, and inputting the user analysis data into the matched double-hidden-layer model to obtain a user health analysis result; performing user health management analysis according to the user health analysis result and the health management guidance information to obtain user monitoring management information; and monitoring daily monitoring information of the user based on the monitoring management information of the user, and when the daily monitoring information of the user does not meet the monitoring management information of the user, obtaining abnormal nursing information. The technical problem that in the prior art, when the health state of the elderly is monitored, analysis is conducted on a single parameter, and the monitoring parameter is single and health intervention pertinence is not high is solved. The technical effects that the corresponding monitoring management content is given according to the position and the body index of the user, the pertinence is high, and the reliability is high are achieved.