Referenced Items are not available for this document.
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
Published in:
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
(Volume:2
)
Date of Conference: 31 Oct-3 Nov 1996
- Page(s):
- 875 - 876 vol.2
- Meeting Date :
- 31 Oct 1996-03 Nov 1996
- Print ISBN:
- 0-7803-3811-1
- INSPEC Accession Number:
- 5926891
- Conference Location :
- Amsterdam
- Digital Object Identifier :
- 10.1109/IEMBS.1996.652019
- Product Type:
- Conference Publications
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