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Wavelet Diagnosis Of Ecg Signals With Kaiser Based Noise Diminution, Sridhathan Chandramouleeswaran, Ahmed M. Haidar, Fahmi Samsuri

Faculty of Engineering and Information Sciences - Papers: Part A

The evaluation of distortion diagnosis using Wavelet function for Electrocardiogram (ECG), Electroen- cephalogram (EEG) and Phonocardiography (PCG) is not novel. However, some of the technological and economic issues remain challenging. The work in this paper is focusing on the reduction of the noise inter- ferences and analyzes different kinds of ECG signals. Furthermore, a physiological monitoring system with a programming model for the filtration of ECG is presented. Kaiser based Finite Impulse Response (FIR) filter is used for noise reduction and identifica- tion of R peaks based on Peak Detection Algorithm (PDA). Two approaches are implemented for detect- ing the …