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Transactions: WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE
Transactions ID Number: 31-757
Full Name: Abdel-Rahman Al-Qawasmi
Position: Assistant Professor
Age: ON
Sex: Male
Address: Philadelphia University. P.O. Box: 1 Amman 19392
Country: JORDAN
Tel: +962777420872
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E-mail address: qawasmi@philadelphia.edu.jo
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Title of the Paper: Discrete Wavelet Transform with Enhancement Filter for ECG Signal
Authors as they appear in the Paper: Abdel-Rahman Al-Qawasmi and Khaled Daqrouq
Email addresses of all the authors: qawasmi@philadelphia.edu.jo , kaleddaq@yahoo.com
Number of paper pages: 10
Abstract: ECG is an important tool for the primary diagnosis of heart disease; it shows the electrophysiology of the heart and the ischemic changes that may occur like the myocardial infarction, conduction defects, and arrhythmia. The ECG signal must be clearly represented and filtered to remove all noise and artifacts from the signal. In this paper a new approach to filter the ECG signal from noise is proposed using Wavelet Transform WT. Different ECG signals are used and the method evaluated using MATLAB' software. The aim of this paper is to adapt the discrete wavelet transform (DWT) to enhance the (ECG) signal. The presented method showed good results comparing to conventional methods particularly in ECG signal case. This method has better performance than Donoho's discrete wavelet thresholding coefficients and FIR filter
Keywords: ECG signal; Filtration; Wavelet Transform; noise and artifacts
EXTENSION of the file: .pdf
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