Why the study?
Peripheral blood flow analysis is used for noninvasive cardiovascular assessment, but the feasibility of Hilbert-Huang spectral analysis to localize mechanisms of nonlinear regulation of hand soft tissue blood perfusion dynamics needed investigation.
Observational (n=9)
Effect estimate: coherence 0.6
Hilbert-Huang spectral analysis of PPG signals suggests a central origin for the nonlinear regulation of tissue blood perfusion dynamics in the hands.
HH analysis of PPG may localize nonlinear distal perfusion regulation; leaves open clinical translation pending larger validation.
Peripheral blood flow analysis is used for noninvasive assessment of the cardiovascular system. The aim was to investigate the possibility of applying Hilbert-Huang spectral analysis (HH) to localize the mechanisms of nonlinear regulation of blood perfusion dynamics in the soft tissues of distal areas of the hands in human. In 9 healthy subjects, synchronous recording of photoplethysmograms (PPG) from the index fingers of the hands was performed. Using a band-pass filter, a cardiac signal was extracted from the PPG, which was separated into the carrier and modulating components. The latter was subjected to decomposition into empirical modes by HH method. Five modes were detected, for which the coherence between the hands was evaluated. The frequencies of the modes fell within the conventional frequency intervals of skin blood flow oscillations, and the coherence was 0.6. A decreased depth of modulation in the left hand compared to the right hand was shown. The results indicate a central origin of the nonlinear regulation of the dynamics of tissue blood perfusion in the hands.
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Гриневич et al. (2022) conducted an observational in Healthy (n=9). Hilbert-Huang spectral analysis of photoplethysmograms was evaluated on Coherence between the hands for detected empirical modes (coherence 0.6).
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