A multilayer Monte Carlo analysis of optical interactions in reflectance neck photoplethysmography
File(s)
Accepted version
Author(s)
Patel, Zaibaa
Rodriguez-Villegas, Esther
Type
Conference Paper
Abstract
This paper presents a multilayer Monte Carlo model of a healthy human neck to investigate the light- tissue interaction during different perfusion states within its dermal layer. Whilst there is great interest in advancing wearable technologies for medical applications, and non- invasive techniques like photoplethysmography (PPG) have been studied in detail, research has focused on more conventional body regions like the finger, wrist, and ear. Alternatively, the neck could offer access to additional physiological parameters which other body regions are unsuitable for. The aim of this work was to investigate the effects of several factors that would influence the optimum design of a reflectance PPG sensor for the neck. These included the source-detector separation on the optical path, penetration depth, and light detection efficiency. The results were generated from a static multilayer model in a reflectance mode geometry at two wavelengths, 660 nm and 880 nm, containing different blood volume fractions with a fixed oxygen saturation. Simulations indicated that both wavelengths penetrated similar depths, where optimal source-detector separation should not exceed 3 mm or 2.4 mm, for red and infrared respectively. Within this range, light interrogates the dermal-fat boundary corresponding to the last neck tissue layer positively contributing to a neck PPG acquisition.
Date Issued
2022-09-08
Date Acceptance
2022-04-01
Citation
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022, pp.850-853
Publisher
IEEE
Start Page
850
End Page
853
Journal / Book Title
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society
Copyright Statement
Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://ieeexplore.ieee.org/document/9871922
Source
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society
Publication Status
Published
Start Date
2022-07-11
Finish Date
2022-07-15
Coverage Spatial
Glasgow, Scotland
Date Publish Online
2022-09-08