%0 Journal Article
%T Parametric and Non Parametric Time-Frequency Analysis of Biomedical Signals
%A S. Elouaham R. Latif
%A A. Dliou
%A M. LAABOUBI
%A F. M. R. Maoulainie
%J International Journal of Advanced Computer Sciences and Applications
%D 2013
%I The Science and Information (SAI) Organization
%X 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.
%K ECG
%K Time-frequency
%K Periodogram
%K Capon
%K Choiwilliams.
%U http://thesai.org/Downloads/Volume4No1/Paper_10-Parametric_and_Non_Parametric_Time-Frequency_Analysis_of_Biomedical_Signals.pdf