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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 5, ISSUE 12, DECEMBER 2016

Diagnosis of ECG Signal and Prediction of Critical Diseases for Cardiac Patients using MATLAB

Anurag Shrivastava, Dr. Vivek Chandra, Dr. G .R Sinha

DOI: 10.17148/IJARCCE.2016.512102

Abstract: In recent decade, ECG signal plays an important role in the prognosis, diagnosis and survival analysis of cardiac diseases. Electrocardiography (ECG) has profound influence on the practice of medicine. The electrocardiogram signal contains important information�s that can be exploited in various manners. The ECG signal allows the analysis of anatomic and physiologic aspects of the whole cardiac system. This research paper proposes an algorithm for analysis of ECG signals for detecting various cardiac diseases .Different ECG signals are used to test the proposed method using MATLAB software.



Keywords: ECG (Electrocardiogram), MATLAB, Cardiac Patients, Critical Diseases, Diagnosis.

How to Cite:

[1] Anurag Shrivastava, Dr. Vivek Chandra, Dr. G .R Sinha, “Diagnosis of ECG Signal and Prediction of Critical Diseases for Cardiac Patients using MATLAB,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.512102