Cited by 3Non-Invasive Vital Sign MonitoringOptical Imaging and Spectroscopy TechniquesSpectroscopy Techniques in Biomedical and Chemical Research

Design of wearable devices for diverse populations (Conference Presentation)

Ramella-Roman, Jessica C.·2020·Optics and Biophotonics in Low-Resource Settings VI

Abstract

The use of wearable devices is changing the way patients manage many chronic health conditions, such as diabetes and cardiovascular disease, outside the clinic. The ability of wearable to provide continuous monitoring makes them particularly suitable for the management of these chronic disorders which are disproportionately present in minorities. Compared to Caucasians, African American are 30% more likely to die of cardiovascular diseases, while Hispanic and Latino are 65% more likely to be diabetic. These groups have also significant higher rate of obesity. In this talk we will introduce some of our work aimed at the development of optical wearable devices targeting chronic diseases. We will show, through Monte Carlo modeling, how common optical wearable devices do not address the need of all users and are particularly limited in dealing with highly pigmented skin tones as well as large adipose layers. Strategies to overcome these limitations will be presented.

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Crossref · 10.1117/12.2550356

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Authors
Ramella-Roman, J. C.
Venue
Optics and Biophotonics in Low-Resource Settings VI
Publisher
SPIE
Published
2020-03-09
Pages
25
OpenAlex
W3012197527
Cited by
3
References
0
Citations by year
2023: 2 · 2021: 1
FWCI
1.36
Type
conference paper
Language
en
Open access
closed
Locations
Optics and Biophotonics in Low-Resource Settings (publishedVersion)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
Keywords
wearable devices, optical sensors, skin pigmentation, adipose tissue, chronic disease monitoring, diabetes mellitus, cardiovascular disease, obesity, health disparities, Monte Carlo simulation

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