無線生理檢測系統之模糊決策分析

Wireless Physiological Detection System by Fuzzy Decision Analysis

本文提出模糊決策分析法則應用於無線生理檢測系統，在使用者身上配置無線生理感測模組及行動裝置(PDA)，利用無線生理訊號感測模組蒐集各種生理訊號，如：心電圖、心跳、心率變異度及自律神經活性等。所蒐集的訊號經藍芽串列傳輸傳送至行動裝置，提供即時檢測及儲存功能。利用行動裝置的無線網路功能連結遠端的伺服器，以自律神經的成人標準建議值做為模糊理論之歸屬函數設定依據，並使用模糊理論在生理資訊與資料庫病史的分析上。分析結果可以提供被觀測者身體的緊張及疲勞等健康資訊，使所獲得的生理數據得以更為淺顯易懂以及給予使用者適時的警示，而家屬及醫生則可利用遠端查詢功能達到行動醫療照護目標。本系統可以擴展至醫院與居家照護之需求，利用行動生理檢測系統，整合無線區域網路技術，跳脫醫院及居家等區域，達到無所不在之行動監控應用。

In this paper, we propose a fuzzy decision analysis and an algorithm for a wireless physiological detection system. We configured a wireless physiological sensor module and mobile devices for client users. The wireless physiological sensor module collected types of physiological signals, including the ECG (Electrocardiogram), HR (Heart Rate), HRV (Heart Rate Variability), autonomic nervous activity, etc. The physiological signal was transmitted via a Bluetooth module using URAT to the mobile device, which could provide real-time detection and storage capabilities. The mobile device implemented a wireless network function to link the remote server. The clinical data of the autonomic nervous system were adopted for the analysis of physiological signals and the medical history database using fuzzy theory. The analysis results can display the physical health status information, including strain and fatigue, to the observer. The acquired physiological data are easy to understand and quickly provide the users with warnings. Family members and doctors can use the remote function to provide mobile health care. This system can be developed and integrated with hospitals and home care requirements using a long-distance medical system in the future, and it can be combined and mixed with wireless mobile communication network systems for ubiquitous and mobile monitoring applications.