17 February 2017 Monte Carlo modeling of spatially complex wrist tissue for the optimization of optical pulse oximeters
Author Affiliations +
Abstract
Monte Carlo modeling of photon propagation has been used in the examination of particular areas of the body to further enhance the understanding of light propagation through tissue. This work seeks to improve upon the established simulation methods through more accurate representations of the simulated tissues in the wrist as well as the characteristics of the light source. The Monte Carlo simulation program was developed using Matlab. Generation of different tissue domains, such as muscle, vasculature, and bone, was performed in Solidworks, where each domain was saved as a separate .stl file that was read into the program. The light source was altered to give considerations to both viewing angle of the simulated LED as well as the nominal diameter of the source. It is believed that the use of these more accurate models generates results that more closely match those seen in-vivo, and can be used to better guide the design of optical wrist-worn measurement devices.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mitchell Robinson, Ryan Butcher, Gerard L. Coté, "Monte Carlo modeling of spatially complex wrist tissue for the optimization of optical pulse oximeters", Proc. SPIE 10072, Optical Diagnostics and Sensing XVII: Toward Point-of-Care Diagnostics, 100720W (17 February 2017); doi: 10.1117/12.2255853; https://doi.org/10.1117/12.2255853
PROCEEDINGS
5 PAGES + PRESENTATION

SHARE
Back to Top