模糊-小波於心電圖分析之應用

Abstract

由國立台灣大學所發展的無線奈米生醫系統，其主要組成部份包含體內植入式感測器、區域性監測單位以及遠端遙控伺服器中心。本篇論文在描述一建構於嵌入式系統中之生物醫學信號檢測平台，與生物醫學之信號檢測機制，以及在系統內所使用之診斷技術。生物醫學信號的處理是以小波分析作為分析基礎；醫學信號的判斷機制是以群聚分析作為依據，在本篇論文中，以心電圖為分析之生理訊號。最後，本篇論文將整個檢測機制建構於嵌入式系統--Windows CE上，實現醫學信號檢測系統。

This thesis describes the biomedical signal diagnostic platform for the Wireless Nano-Bios Diagnostic System (WNBDS) at National Taiwan University. The WNBDS is composed of body implant sensors, a local monitoring unit, and a remote central control server to achieve an online monitoring and remote healthcare system. The signal analysis and diagnostic algorithms for the biomedical signal diagnostic platform is implemented with an embedded system. At this stage, the Electrocardiagram (ECG or EKG) as a physiological signal is first analyzed as an example in this thesis. The ECG signal processing is based on the wavelet analysis and the diagnosis is based on fuzzy clustering. The diagnostic mechanics is also embedded in the system. The embedded system is realized with the Windows CE operating system.