This paper introduces a proposed technique for extracting some of the important features of the electrocardiograph (ECG) signals. The proposed technique is based on the principles of the wavelet transforms (WT). In this work, special attention has been given to the arrhythmia diseases. The proposed approach has been tested using real ECG signals collected from some patients using a computer controlled multi channel data acquisition system. The measured features have been compared with the normal cases, which in turn have been compared with the standard features.
Gadallah, M., Alian, S., & Reda, K. (1999). Features Extraction of ECG Signals Using Wavelet Transforms. The International Conference on Electrical Engineering, 2(2nd International Conference on Electrical Engineering ICEENG 1999), 166-176. doi: 10.21608/iceeng.1999.62311
MLA
M. E. Gadallah; S. M. Alian; Kh. M. Reda. "Features Extraction of ECG Signals Using Wavelet Transforms", The International Conference on Electrical Engineering, 2, 2nd International Conference on Electrical Engineering ICEENG 1999, 1999, 166-176. doi: 10.21608/iceeng.1999.62311
HARVARD
Gadallah, M., Alian, S., Reda, K. (1999). 'Features Extraction of ECG Signals Using Wavelet Transforms', The International Conference on Electrical Engineering, 2(2nd International Conference on Electrical Engineering ICEENG 1999), pp. 166-176. doi: 10.21608/iceeng.1999.62311
VANCOUVER
Gadallah, M., Alian, S., Reda, K. Features Extraction of ECG Signals Using Wavelet Transforms. The International Conference on Electrical Engineering, 1999; 2(2nd International Conference on Electrical Engineering ICEENG 1999): 166-176. doi: 10.21608/iceeng.1999.62311
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