Research On Human Health Analysis And Evaluation Techniques Based On Multi-source Information Fusion

With the fast pace of life in today's society and the increasing pressure of life,more and more people are in sub-health or even unhealthy condition.State of health.Therefore,human health monitoring systems are receiving more and more attention in all aspects such as real-time,flexibility and intelligence.In response to the above-mentioned problems,a human health monitoring system based on multi-source information fusion has emerged.On the basis of this system,this paper proposes to apply multi-sensor data fusion algorithms to the analysis and evaluation of human health by multi.The sensors collect a variety of human physiological parameters,and the collected human physiological parameters are fused and processed to determine whether the human body is Healthy Conclusion.The system built in this paper uses the embedded ESP8266 Wi-Fi module as the hardware processing core,using the body temperature sensor,the Blood pressure sensor,electromyographic sensor and pulse sensor constitute the wearable device.Four human physiological parameters-body temperature,blood pressure,myoelectricity and pulse rate-are collected by wearing the wearable device.The work of a single information source sensor does not accurately collect these physiological parameters,so it is important to set up several different sensors in the wearable device.Physiological parameters sensor information sources to capture body physiological parameters from multiple sites.In this study,a fuzzy D-S evidence theory algorithm is proposed.In it,the optimal fusion set is set during feature-level fusion using the optimized fuzzy set theory algorithm;during the decision-level fusion process in it,the optimized D-S evidence theory algorithm is used to set different weights for the focal elements that cause information conflicts.This allows determining whether the user is healthy or not based on the data detected by multiple sensors.The implication of this study is to enable people to monitor their own physiological information parameters in the home environment and to determine whether they are healthy by basic physiological parameters to determine their own health status.Therefore,this study has strong theoretical significance and use value.