Novel approach to fuzzy-wavelet ECG signal analysis for a mobile device.
This paper describes a signal processing technique for ECG signal analysis based upon the combination of wavelet analysis and fuzzy c-means clustering. The signal analysis technique is implemented into a biomedical signal diagnostic unit that is the carry on device for the Wireless Nano-Bios Diagnostic System (WNBDS) developed at National Taiwan University. The WNBDS integrates mobile devices and remote data base servers to conduct online monitoring and remote healthcare applications. The signal analysis and diagnostic algorithms in this paper are implemented in an embedded mobile device to conduct mobile biomedical signal diagnostics. At this stage, the Electrocardiogram (ECG or EKG) is analyzed for patient health monitoring. The ECG signal processing is based on the wavelet analysis, and the diagnosis is based on fuzzy clustering. The embedded system is realized with the Windows CE operating system.
Tseng
Ching-En
CE
Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan 10617, Republic of China.
Peng
Ching-Yu
CY
Chang
Ming-Wei
MW
Yen
Jia-Yush
JY
Lee
Chih-Kung
CK
Huang
Tse-Shih
TS
D015716:Electrocardiography, Ambulatory / Q000295:instrumentation / Q000379:methods*; D017143:Fuzzy Logic; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation