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Multispectral sensor fusion in SmartWatch for in situ continuous monitoring of human skin hydration and body sweat loss
Post-pandemic health operations have become a near-term reality, discussions around wearables are on the rise. How do wearable health solutions effectively deploy and use this opportunity to fill the gap between wellness and healthcare? In this paper, we will talk about wearable healthcare diagnosis...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435441/ https://www.ncbi.nlm.nih.gov/pubmed/37591885 http://dx.doi.org/10.1038/s41598-023-40339-7 |
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author | Volkova, Elena Perchik, Alexey Pavlov, Konstantin Nikolaev, Evgenii Ayuev, Alexey Park, Jaehyuck Chang, Namseok Lee, Wonseok Kim, Justin Younghyun Doronin, Alexander Vilenskii, Maksim |
author_facet | Volkova, Elena Perchik, Alexey Pavlov, Konstantin Nikolaev, Evgenii Ayuev, Alexey Park, Jaehyuck Chang, Namseok Lee, Wonseok Kim, Justin Younghyun Doronin, Alexander Vilenskii, Maksim |
author_sort | Volkova, Elena |
collection | PubMed |
description | Post-pandemic health operations have become a near-term reality, discussions around wearables are on the rise. How do wearable health solutions effectively deploy and use this opportunity to fill the gap between wellness and healthcare? In this paper, we will talk about wearable healthcare diagnosis, with a particular focus on monitoring skin hydration using optical multi-wavelength sensor fusion. Continuous monitoring of human skin hydration is a task of paramount importance for maintaining water loss dynamics for fitness lovers as well as for skin beauty, integrity and the health of the entire body. Preserving the appropriate levels of hydration ensures consistency of weight, positively affects psychological state, and proven to result in a decrease in blood pressure as well as the levels of “bad” cholesterol while slowing down the aging processes. Traditional methods for determining the state of water content in the skin do not allow continuous and non-invasive monitoring, which is required for variety of consumer, clinical and cosmetic applications. We present novel sensing technology and a pipeline for capturing, modeling and analysis of the skin hydration phenomena and associated changes therein. By expanding sensing capabilities built into the SmartWatch sensor and combining them with advanced modeling and Machine Learning (ML) algorithms, we identified several important characteristics of photoplethysmography (PPG) signal and spectral sensitivity corresponding to dynamics of skin water content. In a hardware aspect, we newly propose the expansion of SmartWatch capabilities with InfraRed light sources equipped with wavelengths of 970 nm and 1450 nm. Evaluation of the accuracy and characteristics of PPG sensors has been performed with biomedical optics-based simulation framework using Monte Carlo simulations. We performed rigorous validation of the developed technology using experimental and clinical studies. The developed pipeline serves as a tool in the ongoing studies of the next generation of optical sensing technology. |
format | Online Article Text |
id | pubmed-10435441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104354412023-08-19 Multispectral sensor fusion in SmartWatch for in situ continuous monitoring of human skin hydration and body sweat loss Volkova, Elena Perchik, Alexey Pavlov, Konstantin Nikolaev, Evgenii Ayuev, Alexey Park, Jaehyuck Chang, Namseok Lee, Wonseok Kim, Justin Younghyun Doronin, Alexander Vilenskii, Maksim Sci Rep Article Post-pandemic health operations have become a near-term reality, discussions around wearables are on the rise. How do wearable health solutions effectively deploy and use this opportunity to fill the gap between wellness and healthcare? In this paper, we will talk about wearable healthcare diagnosis, with a particular focus on monitoring skin hydration using optical multi-wavelength sensor fusion. Continuous monitoring of human skin hydration is a task of paramount importance for maintaining water loss dynamics for fitness lovers as well as for skin beauty, integrity and the health of the entire body. Preserving the appropriate levels of hydration ensures consistency of weight, positively affects psychological state, and proven to result in a decrease in blood pressure as well as the levels of “bad” cholesterol while slowing down the aging processes. Traditional methods for determining the state of water content in the skin do not allow continuous and non-invasive monitoring, which is required for variety of consumer, clinical and cosmetic applications. We present novel sensing technology and a pipeline for capturing, modeling and analysis of the skin hydration phenomena and associated changes therein. By expanding sensing capabilities built into the SmartWatch sensor and combining them with advanced modeling and Machine Learning (ML) algorithms, we identified several important characteristics of photoplethysmography (PPG) signal and spectral sensitivity corresponding to dynamics of skin water content. In a hardware aspect, we newly propose the expansion of SmartWatch capabilities with InfraRed light sources equipped with wavelengths of 970 nm and 1450 nm. Evaluation of the accuracy and characteristics of PPG sensors has been performed with biomedical optics-based simulation framework using Monte Carlo simulations. We performed rigorous validation of the developed technology using experimental and clinical studies. The developed pipeline serves as a tool in the ongoing studies of the next generation of optical sensing technology. Nature Publishing Group UK 2023-08-17 /pmc/articles/PMC10435441/ /pubmed/37591885 http://dx.doi.org/10.1038/s41598-023-40339-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Volkova, Elena Perchik, Alexey Pavlov, Konstantin Nikolaev, Evgenii Ayuev, Alexey Park, Jaehyuck Chang, Namseok Lee, Wonseok Kim, Justin Younghyun Doronin, Alexander Vilenskii, Maksim Multispectral sensor fusion in SmartWatch for in situ continuous monitoring of human skin hydration and body sweat loss |
title | Multispectral sensor fusion in SmartWatch for in situ continuous monitoring of human skin hydration and body sweat loss |
title_full | Multispectral sensor fusion in SmartWatch for in situ continuous monitoring of human skin hydration and body sweat loss |
title_fullStr | Multispectral sensor fusion in SmartWatch for in situ continuous monitoring of human skin hydration and body sweat loss |
title_full_unstemmed | Multispectral sensor fusion in SmartWatch for in situ continuous monitoring of human skin hydration and body sweat loss |
title_short | Multispectral sensor fusion in SmartWatch for in situ continuous monitoring of human skin hydration and body sweat loss |
title_sort | multispectral sensor fusion in smartwatch for in situ continuous monitoring of human skin hydration and body sweat loss |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435441/ https://www.ncbi.nlm.nih.gov/pubmed/37591885 http://dx.doi.org/10.1038/s41598-023-40339-7 |
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