Do CKD and SPWVD provide better time and frequency resolution than STFT for analyzing ECG signals of arrhythmias?
ECG signals of normal sinus rhythm, ventricular tachycardia, ventricular flutter, and ventricular fibrillation
Cone-shaped kernel distribution (CKD) and smoothed pseudo Wigner Ville distribution (SPWVD)
Short time Fourier transform (STFT)
Time and frequency resolution
CKD and SPWVD offer superior time and frequency resolution compared to STFT for analyzing ECG signals, suggesting they may be better suited for future development of arrhythmia classifiers.
The short time Fourier transform (STFT), smoothed pseudo Wigner Ville distribution (SPWVD), and cone-shaped kernel distribution (CKD) have been used to compare the time-frequency distribution of normal sinus rhythm, ventricular tachycardia, ventricular flutter, and ventricular fibrillation signals. This work is a pilot study to illustrate that the CKD and SPWVD have better time and frequency resolution than the STFT. It demonstrates that accurate methods of computing the time-frequency domain should be found for ECG signals. Only then should future work be done to design discriminatory features and classifiers for arrhythmias.>
Building similarity graph...
Analyzing shared references across papers
Loading...
V.X. Afonso
Lusíada University of Lisbon
W.J. Tompkins
Electrophysiology
IEEE Engineering in Medicine and Biology Magazine
University of Wisconsin–Madison
University of Wisconsin System
Building similarity graph...
Analyzing shared references across papers
Loading...
Afonso et al. (Sun,) studied this question.
synapsesocial.com/papers/69d5721375589c71d767e48a — DOI: https://doi.org/10.1109/51.376752
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: