ECG Signal Analysis for Detecting Cardiac Hypertrophy using MATLAB
Paridhi Goyal1, Maya Datt Joshi2, Shaktidev Mukherjee3
1Paridhi Goyal, Department of Biotechnology, Agriculture & AgriInformatics, Shobhit Institute of Engineering & Technology (Deemed to be University), Meerut (U.P.), India.
2Maya Datt Joshi, Department of Biotechnology, Agriculture & Agri-informatics, Shobhit Institute of Engineering & Technology (Deemed to be University), Meerut (U.P.), India.
3Shaktidev Mukherjee, Ex. Vice Chancellor, Shobhit Institute of Engineering & Technology (Deemed to be University), Meerut (U.P.), India.
Manuscript received on August 02, 2018. | Revised Manuscript received on August 15, 2018. | Manuscript published on August 30, 2018. | PP: 1-7 | Volume-5 Issue-8, August 2018. | Retrieval Number: H1261085818
Open Access | Ethics and Policies | Cite
© 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: Cardiac Hypertrophy commonly known as abnormal thickening of the heart muscle. It results from the increase in the cardiomyocyte size and other heart muscle component changes, like extracellular matrix. There can be physiological and pathological causes for the cardiac hypertrophy like amount of strenuous physical activity performed by an athlete and hypertension respectively. Most patients today survive hypertrophy, thanks to a number of efficient treatment options. In ECG, the QRS amplitude and duration plays an important role in determination of Cardiac Hypertrophy. Raw ECG data has been obtained from MIT PTB database and analysed using MATLAB. De-noising of the ECG signal has been done using filters. The clinically important parameters for Cardiac Hypertrophy have been evaluated using Fast Walsh Hadamard Transform. Statistical Analysis is done by comparing the parameters thus obtained with those of normal ECG parameters to gain a deeper understanding of Cardiac Hypertrophy. This research in turn can help the physicians to diagnose the preliminary signs of cardiac hypertrophy which might otherwise go un-noticed.
Keywords: Electrocardiogram (ECG), Cardiac Hypertrophy, Hypertrophy, Statistical Analysis, Cardiac Analysis, QRS amplitude, QRS duration, ECG Monitoring, MATLAB, Fast Walsh Hadamard Transform.