Research On Human Health Monitoring And Intelligent Evaluation System On BIA

It is an important subject to monitor human body function, physical quality systematically and dynamical to improve human health consciousness in Chinese health management fields. Bioelectrical impedance analysis (BIA) technology is a modern medical detection method with low-cost, non-invasive, simple operation, wealth of information, which has a wide application prospect in the human health monitoring and evaluation fields.The change body Compositon and visceral fat is an important incentive to the human health change, as well as the two health indexes are also easy to analyze for normal population. It is high-cost, complex operation and even harmful of the traditional medical measurement methods. It is an effective method for human health monitoring and alarm using BIA to measure body Compositon and visceral fat to evaluate the body health status. While the health information in the bioelectrical impedance is insufficiency and the parameters related body compositon and visceral fat are uncertainty, which lead to the difficulty in the filed of human health status analysis. Now the medical examination is still a primary method for health recognition. The electrical characteristics of human biological tissue is change with the pump-frequency, but it always incudes the human physiology, pathology information. So it is significance to research a new method to predict the body compositon, visceral fat and evaluate the health status using BIA and machine learning theory.The key problem of this project is how to get the scientific conclusion through humanoid inference in the case of the limited human specimen, limited information of impedance signal resource, complex relationship of health feature. In this paper, the relationship between the individual physiological parameters and body Compositon, visceral fat is analyzed through collection of specimen data. The prediction model is built using the results of machine learning fields and the intelligent structure evolution system for health is designed using cloud model. The main research contents are as follow:1. The theory of human bioelectric impedance and the measure method are studied. It includes the model of human body biology tissue impedance equivalent model, the problem of response frequency of bio-issue, the measurement methods of bioelectrical impedance related body Compositon and visceral fat et al, and the factors influence results in the process of measurement are analyzed2. The prediction model for human body Compositon of Chinese is studied. The relationship among the body Compositon and the age, height, weight is analyzed through the specimen population data statistics. A new method data filter on improved median number absolute deviation is proposed to filter impedance data, which can eliminate the fault data and random noise brought by mutational perturbation or sharp pulse jamming; the KPLS algorithm is applied in the human TBW and FFM prediction, the colinearity and nonlinear of the feature data can be avoided; aiming to the limited information of impedance, the similarity of local sample set is chosen to train, the poetical model is obtained for the new sample of testing sample set; the similarity local sample set is obtained through definition of the similarity between the train set and the testing set; the modeling methods include KPLS, BPNN, multiple regression, PLS are studied and applied in the body compositon prediction. The better method is given through comparison of the results using above several methods to predict the body compositon. The modeling method is proven efficient through computing of the coefficient and standard error of the test sample.3. The prediction model for human visceral fat area is studied. The relationship among the visceral fat area and the age, related impedance,weight,abdomenal shape are analyzed through the specimen population data statistics; due to the complex signals and many interfering factors in the process of assessing the viscera fat area using bioelectrical impedance, it is hard to get an accurate predicting model, the Support Vector Regress (SVR) algorithm is applied in the visceral fat area prediction; the optimum of the SVR parameters and the selection of the feature parameters can be regarded as a compound optimum problem, a new optimization algorithm on SVR and Akaike information criterion (AIC) is presented; the improvement PSO optimal algorithm is used to search the optimal value of the objective function to improve the efficiency; in the experiment, KPLS, traditional SVR, multiple regression are applied in the visceral fat area prediction, the result shows the method presented in this paper has valuable and good capability to measure the human viscera fat area. 4. The evaluation system of human health status is built. Aiming to many interfering factors, the heterogeneous of human specimen and the huge data in the health evaluation process, the complex task can be decomposed into two levels:decision and evaluation according to the intelligent control thought, each level can be decomposed into three stage that intelligent computing, qualitative analysis and quantitative evaluation, thus the emphasis of the research is not on the mathematic model but on the knowledge model that is combined the qualitative judgment and quantitative calculation, which solve the model problem; aiming at the problem of uncertainty and the transform between the qualitative and quantitative in evaluation of human health process, the multi-attribute-evaluation model based on cloud model is presented; the multi-attribute-evaluation individal preference cloud model aggregation method based on natural language is given; the standard evaluation cloud model on health evaluation index and natural language is built; the practical cloud model is obtained through the tester’s health index, the conclusion of tester’s health status is drew through definition of similarity. Through the example analysis, the method presented in paper can show the obscurity of the nature langue objectively and the method is feasible, which bring about a new thought of the multi-attribute-evaluation problem.5. The bio-impedance measurement instrument for human body is designed, the software of human health evaluation is completed. The repetition and correlation of the instrument are analyzed through experiments; the detail procedure, condition and results of experiments are given; the conclusion of the results shows valuable of the instrument.The simulation experiments and the practical application show that the instrument designed this paper can be used in practice, the research of application fundamental theory in this paper and the presented methods can be used to predict body Compositon and visceral fat area, the correlativity and standard error are better than other models, the intelligent structure evaluation system on cloud model is suitable for health evaluation, the subject makes exploration in the field of Chinese health management.