Biomedical Signal based on wavelet transform and AR model with Support Vector Machine for mobile biomedical signal analysis system
Date Issued
2009
Date
2009
Author(s)
Yen, Fan-Che
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 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. Thehesis 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 machinelassification algorithm.
Subjects
Biomedical Diagnosis System
Smart Phone
Spectral Estimation
Wavelet Transformation
Principal Component Analysis
Support Vector Machine
Electrocardiogram
Type
thesis
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