Parametric and Non Parametric Time-Frequency Analysis of Biomedical Signals
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 1
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.
Authors and Affiliations
S. Elouaham R. Latif , A. Dliou , M. LAABOUBI , F. M. R. Maoulainie
Keywords
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- EP ID EP93066
- DOI 10.14569/IJACSA.2013.040110
- Views 113
- Downloads 0
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