Parametric and Non Parametric Time-Frequency Analysis of Biomedical Signals

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.

@article{Elouaham2013,
  title     = {Parametric and Non Parametric Time-Frequency Analysis of Biomedical Signals},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {1},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {S. Elouaham and R. Latif and A. Dliou and M. LAABOUBI and F. M. R. Maoulainie},
  doi       = {10.14569/IJACSA.2013.040110},
  url       = {https://doi.org/10.14569/IJACSA.2013.040110}
}