隨著老年人和慢性病患者日益增多，需要持續幫助的老年人數量也隨之增加，對獨居老人進行關鍵護理的核心是對其生命跡象進行連續的監測。其中，心電圖(ECG)信號用於心血管疾病非侵入性診斷。同時，找出一個患者識別推理系統也愈發迫切，如果不能正確識別患者可能導致災難性的後果。本文提出一種心電圖推理系統，該系統結合了心電圖和RFID識別系統，能做為老年人監護之工具。本系統能夠在老年人單獨居住的時候，進行連續監測並進行識別。

Soon there will be more senior citizens and chronic diseases than ever. The number of elderly people who need constant assistance will increase a lot. The key point of all critical care of elderly live alone is continuous monitoring of their vital signs. Among these, the ECG signal is used as a noninvasive diagnosis of cardiovascular diseases. Also, there is a pressing need to have a system for patient identification. Errors in patient identification can lead to disastrous results. This paper proposes an ECG reasoning system, which integrates ECG and RFID identification systems for monitoring elderly people. This system enables continuous monitoring and identification of elderly people who live alone.