EKG signal processing with wavelet and feature extraction
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Abstract (EN)
In this study, Normal, Rbbb, Lbbb and Pace ECG data was examined. Wavelet and Fourier Transform has been used for Feature Extraction. By this way, classification has been realised the shortest time and the less data size.Feature Vectors extracted from original signals with Wavelet Transform, have been classified 72 % accuracy. It has also taken successfully results with FFT. But Feature Vector size has been approximately three times bigger than Wavelet Transform and the classification time has increased approximately three times.Keywords: Wavelet Transform, Signal Analysis, ECG, Feature Extraction
Author
Aşkın Pekçakar
How to Cite
Aşkın Pekçakar (Master Thesis). EKG signal processing with wavelet and feature extraction, 2008, Düzce University.
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