Biomedical Signal Analysis based on AR model and Support vector machine for a wireless remote health monitoring system
Date Issued
2008
Date
2008
Author(s)
HSU, HSUAN-TSUNG
Abstract
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.
Subjects
Biomedical Diagnosis System
Embedded System
Spectral Estimation
Support vector machine
Electrocardiogram
SVM
Type
thesis
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