Title :
Parameters measurement of coronary blood flow velocity using a fast wavelet transform based algorithm
Author :
Francalancia, C. ; Virgilio, V. Di ; Conti, E. ; Finocchiaro, M.L. ; Lupi, A. ; Cerutti, S.
Author_Institution :
Dept. of Inf. & Syst. Sci., Rome Univ., Italy
fDate :
31 Oct-3 Nov 1996
Abstract :
An algorithm based on fast wavelet transform has been developed for detecting diastolic and systolic coronary blood flow velocity signals characteristic patterns. The fast wavelet transform is used as a denoising tool to distinguish coronary blood flow waves from major noise, artifacts and baseline drift. Start-end diastolic-systolic fiducial points have been automatically detected to measure coronary blood flow velocity characteristic parameters. Feasibilty of scientific and clinical investigation assessment of coronary artery disease is presented through phasic coronary blood flow beat-to-beat analysis
Keywords :
Doppler measurement; acoustic signal processing; biomedical ultrasonics; blood flow measurement; cardiology; medical signal processing; signal resolution; wavelet transforms; Doppler ultrasound; Mallat pyramidal algorithm; artifacts; baseline drift; characteristic patterns; coronary artery disease; coronary blood flow velocity; denoising tool; diastolic coronary blood flow velocity; fast wavelet transform based algorithm; multiresolution signal analysis; parameters measurement; phasic coronary blood flow beat-to-beat analysis; start-end diastolic-systolic fiducial points; systolic coronary blood flow velocity; Band pass filters; Blood flow; Digital filters; Discrete wavelet transforms; Fluid flow measurement; Signal analysis; Signal resolution; Velocity measurement; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.652019
