FIELD: medicine.
SUBSTANCE: blood microcirculation speed indicators are registered through laser Doppler ultrasonic flowmetering. Spectral analysis of resulted flowgram is carried out by continuous wavelet transform including evaluation of cardio-timing frequency power a at time point b by formula , where W (a, b) - wavelet transform factor; f (t) - analysed function; ψ(((t-b)/a)-analysed wavelet. Scaling pattern is drawn up based on scaling wavelet factor within segment [bi, bj] by formula , where i, j<N, j>i, V (al) - scaling pattern signal; N - number of factors; al - wavelet transform scale. Physiologically significant frequency ranges are marked on scaling patterns as distances between adjacent local minima on scaling curve by formula: Δa = am - an, where Δa - physiologically significant range, am, an - adjacent local minima on scaling curve. Wavelet power density values U are evaluated for each frequency range Δa = [am, an] by formula , then time variation of wavelet power density is calculated as U (t); and time variation of frequency ranges are detected as Δa (t). Specific wavelet power density values U ' by time is given by: U ' = U (t) / Δa (t).
EFFECT: increased informativity and accuracy of human microcirculation channel regulation analysis.
2 dwg, 1 ex
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Authors
Dates
2008-07-20—Published
2007-01-24—Filed