Using Reduced Interference Distribution to Analyze Abnormal Cardiac Signal

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Journal Title, Volume, Page: 
Journal of Electrical Engineering, Vol.62, No.3, pp.176-180, 2011
Year of Publication: 
2011
Authors: 
Allam Mousa
Electrical Engineering Department, An Najah University
Current Affiliation: 
Department Of Electrical Engineering, Faculty Of Engineering, An-Najah National University, Nablus, Palestine
Rashid Saleem
Electrical Engineering Department, An Najah University
Preferred Abstract (Original): 
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.