Presentation
5 March 2021 Investigation of optical heart rate sensors in wearables and the influence of skin tone and obesity on photoplethysmography (PPG) signal
Author Affiliations +
Abstract
Wearable devices, with Photoplethysmography (PPG)-based sensors, are helping patients to monitor chronic health conditions outside the clinic. The prime source of PPG signals is the blood volume change in the dermal vasculature. Here, we present a novel approach of using a skin model, containing double vascular layer within the dermis to investigate the pulsatile contribution from the region. Finite Element Method (FEM) is used to design vessels and PPG signals from the wrist are extracted by studying light transport through Monte Carlo simulations. By assessing PPG sensors in common wearables, the influence of obesity on the PPG signals are also investigated.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ajmal Ajmal, Tananant Boonya-Ananta, Andres J. Rodriguez, Vinh Nguyen Du Le, and Jessica C. Ramella-Roman "Investigation of optical heart rate sensors in wearables and the influence of skin tone and obesity on photoplethysmography (PPG) signal", Proc. SPIE 11638, Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables II, 1163808 (5 March 2021); https://doi.org/10.1117/12.2578023
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KEYWORDS
Heart

Sensors

Photoplethysmography

Blood

Finite element methods

Measurement devices

Skin

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