Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches
Abstract Prediabetes affects one in three people and has a 10% annual conversion rate to type 2 diabetes without lifestyle or medical interventions. Management of glycemic health is essential to prevent progression to type 2 diabetes. However, there is currently no commercially-available and noninva...
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Nature Portfolio
2021
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oai:doaj.org-article:8fe35e023f394264a7a7065a208754e22021-12-02T18:24:55ZEngineering digital biomarkers of interstitial glucose from noninvasive smartwatches10.1038/s41746-021-00465-w2398-6352https://doaj.org/article/8fe35e023f394264a7a7065a208754e22021-06-01T00:00:00Zhttps://doi.org/10.1038/s41746-021-00465-whttps://doaj.org/toc/2398-6352Abstract Prediabetes affects one in three people and has a 10% annual conversion rate to type 2 diabetes without lifestyle or medical interventions. Management of glycemic health is essential to prevent progression to type 2 diabetes. However, there is currently no commercially-available and noninvasive method for monitoring glycemic health to aid in self-management of prediabetes. There is a critical need for innovative, practical strategies to improve monitoring and management of glycemic health. In this study, using a dataset of 25,000 simultaneous interstitial glucose and noninvasive wearable smartwatch measurements, we demonstrated the feasibility of using noninvasive and widely accessible methods, including smartwatches and food logs recorded over 10 days, to continuously detect personalized glucose deviations and to predict the exact interstitial glucose value in real time with up to 84% and 87% accuracy, respectively. We also establish methods for designing variables using data-driven and domain-driven methods from noninvasive wearables toward interstitial glucose prediction.Brinnae BentPeter J. ChoMaria HenriquezApril WittmannConnie ThackerMark FeinglosMatthew J. CrowleyJessilyn P. DunnNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 4, Iss 1, Pp 1-11 (2021) |
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Computer applications to medicine. Medical informatics R858-859.7 |
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Computer applications to medicine. Medical informatics R858-859.7 Brinnae Bent Peter J. Cho Maria Henriquez April Wittmann Connie Thacker Mark Feinglos Matthew J. Crowley Jessilyn P. Dunn Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches |
description |
Abstract Prediabetes affects one in three people and has a 10% annual conversion rate to type 2 diabetes without lifestyle or medical interventions. Management of glycemic health is essential to prevent progression to type 2 diabetes. However, there is currently no commercially-available and noninvasive method for monitoring glycemic health to aid in self-management of prediabetes. There is a critical need for innovative, practical strategies to improve monitoring and management of glycemic health. In this study, using a dataset of 25,000 simultaneous interstitial glucose and noninvasive wearable smartwatch measurements, we demonstrated the feasibility of using noninvasive and widely accessible methods, including smartwatches and food logs recorded over 10 days, to continuously detect personalized glucose deviations and to predict the exact interstitial glucose value in real time with up to 84% and 87% accuracy, respectively. We also establish methods for designing variables using data-driven and domain-driven methods from noninvasive wearables toward interstitial glucose prediction. |
format |
article |
author |
Brinnae Bent Peter J. Cho Maria Henriquez April Wittmann Connie Thacker Mark Feinglos Matthew J. Crowley Jessilyn P. Dunn |
author_facet |
Brinnae Bent Peter J. Cho Maria Henriquez April Wittmann Connie Thacker Mark Feinglos Matthew J. Crowley Jessilyn P. Dunn |
author_sort |
Brinnae Bent |
title |
Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches |
title_short |
Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches |
title_full |
Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches |
title_fullStr |
Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches |
title_full_unstemmed |
Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches |
title_sort |
engineering digital biomarkers of interstitial glucose from noninvasive smartwatches |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/8fe35e023f394264a7a7065a208754e2 |
work_keys_str_mv |
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