以支向量機結合小波轉換與自回歸模型之生醫訊號分析於行動生醫檢測系統

Abstract

本篇論文以國立台灣大學的無線奈米生醫檢測系統為發展藍圖，開發出一嵌入式生醫資訊監控裝置。無線奈米生醫檢測系統包含有植入式的體內感測器、生理監控裝置以及健康監控伺服中心。本文中實現了生理監控裝置以及健康監控伺服中心。此生理監控裝置架構在智慧型手機上，其作業系統為Symbian 作業系統，同時在此生理監控裝置與健康監控伺服中心上也建構了一份訊號分析檢測系統。本篇論文使用心電圖訊號作為生理訊號分析之範本，其中訊號分析主要以頻譜估測、小波轉換、主成份分析為基礎；醫學訊號檢測的判斷依據則是以支向量機分析理論為基礎，進行六種病症與健康情形之分辨。

This thesis describes the embedded system technology in the monitoring device for the National Taiwan University Wireless Health Advanced Monitoring Bio-Diagnosis System (WHAM-bios). The WHAM-bios consists of body-embedded sensors, a monitoring device, and a center health care server. A prototype of the monitoring device and the health care center is implemented in this thesis. The monitoring device is a smart phone running Symbian operating system. The biomedical diagnosis system is implemented in the center health care server as well as the smart phone. The thesis uses Electrocardiogram (ECG or EKG) as example. The ECG signal analysis is based on spectral estimation, wavelet transformation and principal component analysis. The diagnosis dealing with healthy state and six other arrhythmia abnormalities is based on support vector machine classification algorithm.