Title :
Detection of cardiac hypertrophy by ECG analysis
Author :
Sutar, Rajendra G. ; Kothari, A.G.
Author_Institution :
S.P.I.T., Mumbai Univ., Nagpur, India
Abstract :
Electrocardiogram (ECG) is a popular non invasive test which records the electrical activity of the heart. Cardiac hypertrophy is an adaptive morphological response of the heart to the work overload and is an important risk factor for myocardial infarction, congestive heart failure and sudden death. P wave and T wave changes along-with rise in QRS complex are some of the indications of Hypertrophy. To design intelligent diagnostic system automatic detection of cardiac hypertrophy is an important landmark. This paper illustrates the algorithm to detect cardiac hypertrophy by analyzing ECG signal. MIT-BIH database and MATLAB software has been used for carrying out experimental analysis.
Keywords :
electrocardiography; medical diagnostic computing; medical signal processing; ECG analysis; MATLAB software; MIT-BIH database; P wave; QRS complex; T wave; adaptive morphological response; automatic cardiac hypertrophy detection; congestive heart failure; electrical activity; electrocardiogram; intelligent diagnostic system; myocardial infarction; non invasive test; sudden death; Computers; Databases; Diseases; Electrocardiography; Feature extraction; Heart; Medical diagnostic imaging; Cardiac Hypertrophy; ECG; Intelligent Diagnosis;
Conference_Titel :
Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4577-2077-2
DOI :
10.1109/ICCICT.2012.6398192
