Fuzzy Algorithm Combined Optimal Decision Analysis for Wireless Physiological Detection System

Abstract

In this paper, we proposed fuzzy decision analysis and algorithm for applying wireless physiological detection system. We configured the wireless physiological sensor module and mobile devices for the client user. The wireless physiological sensor module is collected some kinds of physiological signals, such as: ECG (Electrocardiogram), HR (Heart Rate), HRV (Heart Rate Variability) and autonomic nervous activity, etc. The physiological signal is transmitted by Bluetooth module using URAT to the mobile device which could provide real-time detection and store capabilities. The mobile device implemented wireless network function to link remote server. The clinical data of autonomic nervous system is adopted for the parameter which analyzes physiological signals and database of medical history by using fuzzy theory. The analysis results could display and appear the observer physical health status information for strain and fatigue. The acquired physiological data is easy to understand and given users a more timely warning. Family members and doctors could inquire the remote function to achieve the main goal of mobile health care. The future work of this system could be developed and integrated the hospitals and home care requirements using long-distance medical system. The system could be combined and mixed with the wireless mobile communication network system technique for ubiquitous and mobile monitor applications.