Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i40/98129
Year: 2016, Volume: 9, Issue: 40, Pages: 1-4
Original Article
Akash Kumar Bhoi1* , Karma Sonam Sherpa1 and Bidita Khandelwal2
1 Department of Electricaland Electronics Engineering, Sikkim Manipal Institute of Technology (SMIT), SMU, Gangtok - 737102, Sikkim, India; [email protected]
[email protected]
2 Department General Medicine, Central Referral Hospital and SMIMS, SMU, Gangtok - 737102, Sikkim, India; [email protected]
*Author for correspondence
Akash Kumar Bhoi
Department of Electricaland Electronics Engineering
Email:[email protected]
Objective: Precisely localize QRS complex and T wave of Electrocardiogram (ECG). Severe cardiovascular abnormalities like Ventricular Arrhythmias, Ventricular Hypertrophy, and Myocardial Infarction may occur due to the ventricular tissue dysfunctioning. The morphological changes in QRS and T wave of ECG represent the depolarization and repolarization disturbances and analysis of these segments alone may lead to identifying certain acute cardiac condition. Methodology: Presented algorithm comprises of three stages; 1. Pre-processing of input ECG signal (High-pass filter and Kalman filter), 2. Elimination of P wave (Difference Operation Method and Wavelet Transform), 3. Detection of QRS and T wave using Short Term Fourier Transform (STFT). Findings: The algorithm efficiency is evaluated with standard MIT-BIH Arrhythmia database. The Sensitivity (Se) and the Specificity (Sp) for QRS complex is found to be 99.59% and 99.53%, whereas for T wave it is of 99.50% and 99.44% respectively. Application/Scope: This algorithm could be implemented in real-time ECG analyzer for possible detection of ventricular chronic heart disease and may reduce the risk of sudden cardiac death.
Keywords: MIT-BIH Arrhythmia Database, Pre-Processing, QRS Complex, STFT, T Wave
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