Key result
The Bessel Distribution successfully detected QRS complexes in both normal and abnormal cardiac signals, whereas the Wigner-Ville Distribution failed to detect them in abnormal signals due to cross-terms.
Bessel Distribution provides superior time-frequency resolution compared to Wigner-Ville Distribution for detecting QRS complexes in abnormal ECG signals.
Bessel Distribution merits exploration for QRS detection in abnormal ECGs; leaves open prospective clinical validation before diagnostic use.
Using Reduced Interference Distribution to Analyze Abnormal Cardiac Signal Due to the non-stationary, multicomponent nature of biomedical signals, the use of time-frequency analysis can be inevitable for these signals. The choice and selection of the proper Time-Frequency Distribution (TFD) that can reveal the exact multicomponent structure of biological signals is vital in many applications, including the diagnosis of medical abnormalities. In this paper, the instantaneous frequency techniques using two distribution functions are applied for analysis of biological signals. These distributions are the Wigner-Ville Distribution and the Bessel Distribution. The simulation performed on normaland abnormal cardiac signals show that the Bessel Distribution can clearly detect the QRS complexes. However, Wigner-Ville Distribution was able to detect the QRS complexes in the normal signa, but fails to detect these complexes in the abnormal cardiac signal.
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Mousa et al. (2011) studied Normal and abnormal ECG (Heart Failure). Bessel Distribution (BD) vs. Wigner-Ville Distribution (WVD) was evaluated on Detection of QRS complexes in normal and abnormal ECG signals. The Bessel Distribution successfully detected QRS complexes in both normal and abnormal cardiac signals, whereas the Wigner-Ville Distribution failed to detect them in abnormal signals due to cross-terms.
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