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P11.8 Arterial Elasticity Determination by PPG Signals Processing Using Pulse Waveform Decomposition and Second Order Derivative

Abstract

Arterial stiffness is a disease caused by various risk factors and processes. Easy measurements of arterial stiffness may provide information about these processes, but also information regarding the cumulative history of risk factor exposure. To determine the arterial elasticity index we use a combination of red and infrared emitting LED lights which are laid on the surface of the finger/toe nail to measure arterial pulses as light intensity variations. Pulse wave analysis and its decomposition evaluation could be a method for elasticity screening. The pulse wave comprises five different wave components, the incident wave f1(t) and the reflected waves fi(t) (i=2–5). The arterial pulse is a envelope which morphology has waves appearing as the four peaks. All the peaks together are the percussion, tidal, dicrotic, repercussion and retidal wave. Of these waves the percussion wave travels from the heart and the other waves travel to the heart. The amplitude and the velocity of the waves also change markedly depending of the arterial elasticity. The second derivative (SD) of the arterial pulse waveform is also a valuable tool in the parallel analysis of pulse waves. Many noninvasive methods for extracting the reflected components from a pulse wave have been proposed in addition to the SD. A new approach is used to estimate the pulse waveform and logarithmic transform of time axis to decompose the waveform into its Gaussian components. This method was applied to subjects aged from their 20s to 69s. The results indicate moderate correlation between age and elasticity index.

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Huotari, M., Röning, J. P11.8 Arterial Elasticity Determination by PPG Signals Processing Using Pulse Waveform Decomposition and Second Order Derivative. Artery Res 8, 162 (2014). https://doi.org/10.1016/j.artres.2014.09.226

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  • DOI: https://doi.org/10.1016/j.artres.2014.09.226