Monte Carlo modeling of spatially complex wrist tissue for the optimization of optical pulse oximeters

Mitchell Robinson; Ryan Butcher; Gerard L. Coté

doi:10.1117/12.2255853

17 February 2017 Monte Carlo modeling of spatially complex wrist tissue for the optimization of optical pulse oximeters

Mitchell Robinson, Ryan Butcher, Gerard L. Coté

Proceedings Volume 10072, Optical Diagnostics and Sensing XVII: Toward Point-of-Care Diagnostics; 100720W (2017) https://doi.org/10.1117/12.2255853
Event: SPIE BiOS, 2017, San Francisco, California, United States

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

Citation Download Citation

Mitchell Robinson, Ryan Butcher, and 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); https://doi.org/10.1117/12.2255853

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