A Unified Approach of ECG Signal Analysis
Rajiv Ranjan1, V. K. Giri2

1Rajiv Ranjan, Associate Professor, Department of Electrical & Electronics Engineering, Dronacharya Group of Institutions, Gr. Noida U.P. India .
2Dr. V.K. Giri, Professor, Electrical Engineering Department, MMM Engineering College, Gorakhpur, U.P. India.

Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 5-10 | Volume-2, Issue-3, July 2012. | Retrieval Number: B0585042212 /2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The bio-potentials generated by the muscles of the heart result in an electrical signal called electrocardiogram (ECG). It is one of the most important physiological parameter, which is being extensively used for knowing the state of the cardiac patients. Feature extraction of ECG is most essential task in the manual and automated ECG analysis for use in instruments like ECG monitors, Holter tape recorders and scanners, ambulatory ECG recorders and analysers. Recently, artificial intelligent tools such as neural networks, genetic algorithms, fuzzy systems, and expert systems have frequently been reported for detection and diagnostic tasks. This paper, therefore, is an attempt to review the work done by the different researchers in the area of ECG signal processing, analysis and interpretation during last five decades.

Keywords: Arrhythmia, ECG analysis, ECG interpretation, Noise removal, Expert system, Artificial intelligence, Feature extraction.