Abstract: An Electrocardiogram (ECG) could be defined as a continuous recording of electrical signals of the heart against time. Analysis of ECG by identifying the various features and traits could help us detect the various cardiac peculiarities. Automatic classification of ECG has evolved as an emerging tool in medical diagnosis for effective treatments. The work proposed in this paper has been implemented using MATLAB that presents an algorithm to detect the various features and the possible abnormalities it could represent. ECG signals in this work are collected across various databases. The processing of the data was done on the Lead-II ECG signals. In addition to that, this paper also provides a comparative study of various methods proposed by researchers used to detect and evaluate P peaks thus helping us obtain the results accurately, thus enabling precise calculations of the waveforms.

Keywords: Electrocardiogram (ECG), Lead-II Configuration, P waves, Heart Defects, Matlab.

PDF | DOI: 10.17148/IJARCCE.2018.71142

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