Analysis of myogenic and respiratory oscillatory components in laser Doppler flowmetry pulse waveforms

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.