結合支向量機與自回歸模型之生醫訊號分析於無線遠端生醫資訊監控系統

Biomedical Signal Analysis based on AR model and Support vector machine for a wireless remote health monitoring system

徐玄宗(HSUAN-TSUNG HSU)

指導教授 ： 顏家裕

國立臺灣大學/工學院/機械工程學研究所/碩士(2008年)

https://doi.org/10.6342/NTU.2008.00566

摘要

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ARM9嵌入式系統上，其作業系統為Windows CE嵌入式作業系統。在健康監控伺服中心還建構了一訊號分析檢測系統於其內。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為基礎；醫學訊號檢測的判斷依據則是以支援向量機理論為基礎。

關鍵字

生醫信號檢測系統 ； 嵌入式系統 ； Windows CE ； 頻譜估測 ； 支向量機 ； 心電圖

並列摘要

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 an ARM9 embedded system running Windows CE operating system. The biomedical diagnosis system is implemented in the center health care server. The thesis uses Electrocardiogram (ECG or EKG) as example. The ECG signal analysis is based on spectral estimation and the diagnosis is based on support vector machine algorithm.

並列關鍵字

Biomedical Diagnosis System ； Embedded System ； Windows CE ； Spectral Estimation ； Support vector machine ； Electrocardiogram ； SVM

參考文獻

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