Parameters measurement of coronary blood flow velocity using a fast wavelet transform based algorithm

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.