• Venkanna Chanagoni
• Dr Kusma Kumari Cheepurupalli

Atrial Fibrillation (AF) is the one of the most common type of cardiac arrhythmia. AF is caused by irregular contraction of atria in pumping of blood to body. It results in blood pooling in the heart chambers, which increases the risk of blood clot formation. This condition may lead to heart attack with no prior warning. This paper introduces the work that has been done to distinguish the Electrocardiogram (ECG) of a normal healthy human from that of AF patient. Normal Spectral analysis of ECG provides only the power within frequency components but doesn’t give phase relations. Bispectral analyzing technique is considered in this paper to indentify the phase correlation. The components like Bispectrum, Bicoherence and Quadratic Phase Coupling technique are used to detect and characterize phase coupled harmonics in ECG signal. Normal Sinus Rhythm Data which is related to a normal person is obtained from MIT-BIH NSR database and AF data which is related to AF infected person is obtained from MIT-BIH Atrial Fibrillation database. This Bispectral technique is tested on MIT-BIH database and results using MATLAB are verified.

Atrial Fibrillation, ECG, Bispectrum, Bicoherence, Quadratic Phase Coupling, MIT-BIH

"Bispectral Analysis of ECG for identification of Atrial Fibrillation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.596-600, July-2018, Available :http://www.jetir.org/papers/JETIR1807233.pdf

"Bispectral Analysis of ECG for identification of Atrial Fibrillation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp596-600, July-2018, Available at : http://www.jetir.org/papers/JETIR1807233.pdf