Forecast and Explication of ECG Signal Ongoings Using Soft Computing Techniques

Santosh Kumar Suman*, Mayank Kumar Gautam**, V. K. Giri***
*-** PG Scholar, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.
*** Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.
Periodicity:January - March'2016
DOI : https://doi.org/10.26634/jdp.4.1.4861

Abstract

The major cause of human loss in Cardiovascular Disease (CVD) is Cardiac problems, that are increasing day-by-day in the world. In order to achieve a great effort and to diagnose the cardiovascular disease, many people use different types of Mobile Electrocardiogram (ECG) in remote monitoring techniques. ECG Feature Extraction acts as an important role in diagnosing most part of the cardiac diseases. Now it has been comprehensively reviewed all way through for feature extraction of ECG signal analyzing, feature extracting, followed by classifying which has been planned a longtime ago. Here the authors have introduced soft computing techniques. To recognize the present situation of the heart, Electrocardiography and is an essential tool, but it is a time consuming process to analyze a continuous ECG signal as it may hold thousands of nonstop heart beats. At this point, the authors convert analog signal in to a digital one, vice versa, and it helps in accurately diagnosing the signal. Aim of this paper is to present a detection of some heat arrhythmias using soft computing techniques.

Keywords

ECG, ANN, BPNN, Arrhythmia, Feature Extraction, Feature Classification

How to Cite this Article?

Suman,S,K.,Gautham,M,K., and Giri, V,K. (2016). Forecast and Explication of ECG Signal Ongoings Using Soft Computing Techniques. i-manager’s Journal on Digital Signal Processing, 4(1), 32-38. https://doi.org/10.26634/jdp.4.1.4861

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