Presentation
25 March 2020 Wearable oxymetry system for real-time deep tissue monitoring (Conference Presentation)
Author Affiliations +
Abstract
We developed a wearable system for wireless monitoring of oxygenation of deep tissues such as liver and lung during exercise. It is also useful where subcutaneous fat thickness is high. Our system utilizes Continuous Wave Near Infrared Spectroscopy (CW NIRS) with source-detector distances from 10mm to 60mm. This allows us to observe tissues at various depths. To mitigate the interference of the overlaying tissue layers such as skin, fat and muscle, we developed a multi-layer Monte Carlo model for photon diffusion. Flexible structure of our device helps achieve better skin contact and expand its usability to most body parts.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Siddharth M. Khare, Kosar Khaksari, Afrouz Anderson, Hyesoo Lee, Ravi Malpani, Viswanath Gorti, and Amir H. Gandjbakhche "Wearable oxymetry system for real-time deep tissue monitoring (Conference Presentation)", Proc. SPIE 11237, Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables, 1123704 (25 March 2020); https://doi.org/10.1117/12.2545100
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KEYWORDS
Tissues

Near infrared spectroscopy

Continuous wave operation

Skin

Imaging systems

Monte Carlo methods

Tissue optics

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