Features Extraction of ECG Signals Using Wavelet Transforms
Gadallah, M., Alian, S., Reda, K. (1999). Features Extraction of ECG Signals Using Wavelet Transforms. EKB Journal Management System, 2(2nd International Conference on Electrical Engineering ICEENG 1999), 166-176. doi: 10.21608/iceeng.1999.62311
M. E. Gadallah; S. M. Alian; Kh. M. Reda. "Features Extraction of ECG Signals Using Wavelet Transforms". EKB Journal Management System, 2, 2nd International Conference on Electrical Engineering ICEENG 1999, 1999, 166-176. doi: 10.21608/iceeng.1999.62311
Gadallah, M., Alian, S., Reda, K. (1999). 'Features Extraction of ECG Signals Using Wavelet Transforms', EKB Journal Management System, 2(2nd International Conference on Electrical Engineering ICEENG 1999), pp. 166-176. doi: 10.21608/iceeng.1999.62311
Gadallah, M., Alian, S., Reda, K. Features Extraction of ECG Signals Using Wavelet Transforms. EKB Journal Management System, 1999; 2(2nd International Conference on Electrical Engineering ICEENG 1999): 166-176. doi: 10.21608/iceeng.1999.62311

Features Extraction of ECG Signals Using Wavelet Transforms

The International Conference on Electrical Engineering
Article 20, Volume 2, 2nd International Conference on Electrical Engineering ICEENG 1999, November 1999, Page 166-176  XML PDF (2.1 MB)
Document Type: Original Article
DOI: 10.21608/iceeng.1999.62311
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Authors
M. E. Gadallah1; S. M. Alian2; Kh. M. Reda3
1Associate professor, Dpt. of Electronic Engineering, Egyptian Armed forces.
2Professor, Dpt. of Electronic Engineering, Egyptian Armed forces.
3Eng., Egyptian Armed forces.
Abstract
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.
Keywords
Electrocardiograph (ECG); Wavelet Transforms (WT); Beat per Minute (BPM); Arrhythmia Diseases; Band Pass Filter (BPF); High Pass Filter (HPF); Low Pass Filter (LPF); and MIT/BIH Massachusetts Institute of Technology/Beth Israel Hospital arrhythmia database
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