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Digital Object Identifier (DOI) : 10.14569/IJACSA.2013.040110
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 1, 2013.
Abstract: Due to non-stationary multicomponent nature of the electrocardiogram (ECG) signal its analysis by the monodimensional techniques temporal and frequenctial can be very difficult. The use of the time-frequency techniques can be inevitable to achieve to a correct diagnosis. Between the different existing parametric and non-parametric time-frequency techniques the Periodgram Capon Choi-Williams and Smoothed Pseudo Wigner-Ville were chosen to deal with analysis of this biomedical signal. In a first time a comparison between these time-frequency techniques was made by analyzing modulated signal to make in evidence the technique that gives a good resolution and low level of cross-terms. In a second time the Periodogram which presents a powerful technique was applied to a normal and abnormal ECG signal. The results show the effectiveness of this time-frequency in analyzing this type of biology signal.
S. Elouaham, R. Latif, A. Dliou, M. LAABOUBI and F. M. R. Maoulainie, “Parametric and Non Parametric Time-Frequency Analysis of Biomedical Signals” International Journal of Advanced Computer Science and Applications(IJACSA), 4(1), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040110