Indian Journal of Science and Technology

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QRS Complex and T Wave Detection using STFT


Affiliations
1 Department of Electricaland Electronics Engineering, Sikkim Manipal Institute of Technology (SMIT),SMU, Gangtok - 737102, Sikkim, India
2 Department of Electricaland Electronics Engineering, Sikkim Manipal Institute of Technology (SMIT), SMU, Gangtok - 737102, Sikkim, India
3 Department General Medicine, Central Referral Hospital and SMIMS, SMU, Gangtok - 737102, Sikkim, India
 

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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  • QRS Complex and T Wave Detection using STFT

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Authors

Akash Kumar Bhoi
Department of Electricaland Electronics Engineering, Sikkim Manipal Institute of Technology (SMIT),SMU, Gangtok - 737102, Sikkim, India
Karma Sonam Sherpa
Department of Electricaland Electronics Engineering, Sikkim Manipal Institute of Technology (SMIT), SMU, Gangtok - 737102, Sikkim, India
Bidita Khandelwal
Department General Medicine, Central Referral Hospital and SMIMS, SMU, Gangtok - 737102, Sikkim, India

Abstract


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.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i40%2F126506