Open AccessPackets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasound Signals
Author(s) -
Mahieddine Latfaoui,
F. Bereksi Reguig
Publication year - 2018
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v8i6.pp4212-4220
Subject(s) - wavelet , doppler effect , stenosis , wavelet transform , fourier transform , short time fourier transform , doppler ultrasound , wavelet packet decomposition , signal (programming language) , continuous wavelet transform , computer science , medicine , acoustics , discrete wavelet transform , mathematics , radiology , artificial intelligence , fourier analysis , physics , mathematical analysis , astronomy , programming language
Ultrasonic Doppler signals are widely used in the detection of cardiovascular pathologies or the evaluation of the degree of stenosis in the femoral arteries. The presence of stenosis can be indicated by disturbing the blood flow in the femoral arteries, causing spectral broadening of the Doppler signal. To analyze these types of signals and determine stenosis index, a number of time-frequency methods have been developed, such as the short-time Fourier transform, the continuous wavelets transform, the wavelet packet transform, and the S-transform.