A study on ECG signal characterization and practical implementation of some ECG characterization techniques

Abstract

The role of ECG is pivotal in medical field for the analysis of cardiac physiology and abnormalities. Theinterpretation of ECG signal is performed by signal processing algorithms for diagnosis of cardiac dis-eases. This work analyses filtering approaches, component extraction, classification and compressionalgorithms for the ECG signal. The portable ECG systems are also analysed; results and discussion com-prises of IIR notch filter for the removal of power line interference, hybrid wavelet filter for removal ofbaseline wander, FFT algorithm for R peak detection and hybrid filtering approach for the detection ofP, QRS and T components. The outcome of this research work is an aid for researchers developing novelalgorithms in ECG filtering, segmentation and classification. The algorithms are developed in Matlab2015b and tested on fantasia database data sets.