Why the study?
Accurate detection of key components in the ECG plays a vital role in determining cardiovascular diseases.
A novel phasor transform-based method demonstrates high sensitivity and positive predictivity for delineating T-wave components in ECGs, potentially aiding in arrhythmia detection.
High-accuracy T-wave delineation on QTDB supports automated arrhythmia screening; leaves open prospective clinical validation before practice change.
Accurate detection of key components plays a vital role in determining cardiovascular diseases in the ECG. In this method, we propose an enhanced T-wave delineation method using the phasor transform. Discrete Wavelet Transform (DWT) and median filters were used to suppress the high-frequency noise and baseline drift during pre-processing. The phasor transform was used to detect and locate the delineation points before and after the T-wave. The proposed method was tested on the QTDB for R-peak, T-peak, and T off detection. It achieved both sensitivity (Se%) and positive predictivity (+P%) values of 100 for R-peak detection. In T-peak detection, method shows Se % = 99.46 and +P % = 99.54, respectively. This method has reported Se% = 99.34 and +P% = 99.48 for T off detection in the ECG. The achieved results show that the method can be used for cardiac arrhythmia detection related to the morphology of T-wave.
No takes yet. Share an insight, caveat, or question.
Rahul et al. (2021) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: