Pulse decomposition algorithms (PDAs) are advanced methods able to provide a noninvasive evaluation of arterial stiffness and distal pulse reflection from laser Doppler flowmetry signals of microvascular perfusion, through a fine identification and characterization of heartbeat-related components. In this study, we addressed the potential dependence of features commonly employed in PDAs on the myogenic and breathing-related oscillations of the cutaneous blood flow.
Analysis of myogenic and respiratory oscillatory components in laser Doppler flowmetry pulse waveforms / Sorelli M.; Bocchi L.. - ELETTRONICO. - (2020), pp. 1-2. (Intervento presentato al convegno 11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020 tenutosi a ita nel 2020) [10.1109/ESGCO49734.2020.9158039].
Analysis of myogenic and respiratory oscillatory components in laser Doppler flowmetry pulse waveforms
Sorelli M.;Bocchi L.
2020
Abstract
Pulse decomposition algorithms (PDAs) are advanced methods able to provide a noninvasive evaluation of arterial stiffness and distal pulse reflection from laser Doppler flowmetry signals of microvascular perfusion, through a fine identification and characterization of heartbeat-related components. In this study, we addressed the potential dependence of features commonly employed in PDAs on the myogenic and breathing-related oscillations of the cutaneous blood flow.
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