Cargando…

Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information

A new wave of portable biosensors allows frequent measurement of health-related physiology. We investigated the use of these devices to monitor human physiological changes during various activities and their role in managing health and diagnosing and analyzing disease. By recording over 250,000 dail...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Xiao, Dunn, Jessilyn, Salins, Denis, Zhou, Gao, Zhou, Wenyu, Schüssler-Fiorenza Rose, Sophia Miryam, Perelman, Dalia, Colbert, Elizabeth, Runge, Ryan, Rego, Shannon, Sonecha, Ria, Datta, Somalee, McLaughlin, Tracey, Snyder, Michael P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5230763/
https://www.ncbi.nlm.nih.gov/pubmed/28081144
http://dx.doi.org/10.1371/journal.pbio.2001402
_version_ 1782494373930336256
author Li, Xiao
Dunn, Jessilyn
Salins, Denis
Zhou, Gao
Zhou, Wenyu
Schüssler-Fiorenza Rose, Sophia Miryam
Perelman, Dalia
Colbert, Elizabeth
Runge, Ryan
Rego, Shannon
Sonecha, Ria
Datta, Somalee
McLaughlin, Tracey
Snyder, Michael P.
author_facet Li, Xiao
Dunn, Jessilyn
Salins, Denis
Zhou, Gao
Zhou, Wenyu
Schüssler-Fiorenza Rose, Sophia Miryam
Perelman, Dalia
Colbert, Elizabeth
Runge, Ryan
Rego, Shannon
Sonecha, Ria
Datta, Somalee
McLaughlin, Tracey
Snyder, Michael P.
author_sort Li, Xiao
collection PubMed
description A new wave of portable biosensors allows frequent measurement of health-related physiology. We investigated the use of these devices to monitor human physiological changes during various activities and their role in managing health and diagnosing and analyzing disease. By recording over 250,000 daily measurements for up to 43 individuals, we found personalized circadian differences in physiological parameters, replicating previous physiological findings. Interestingly, we found striking changes in particular environments, such as airline flights (decreased peripheral capillary oxygen saturation [SpO(2)] and increased radiation exposure). These events are associated with physiological macro-phenotypes such as fatigue, providing a strong association between reduced pressure/oxygen and fatigue on high-altitude flights. Importantly, we combined biosensor information with frequent medical measurements and made two important observations: First, wearable devices were useful in identification of early signs of Lyme disease and inflammatory responses; we used this information to develop a personalized, activity-based normalization framework to identify abnormal physiological signals from longitudinal data for facile disease detection. Second, wearables distinguish physiological differences between insulin-sensitive and -resistant individuals. Overall, these results indicate that portable biosensors provide useful information for monitoring personal activities and physiology and are likely to play an important role in managing health and enabling affordable health care access to groups traditionally limited by socioeconomic class or remote geography.
format Online
Article
Text
id pubmed-5230763
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-52307632017-01-31 Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information Li, Xiao Dunn, Jessilyn Salins, Denis Zhou, Gao Zhou, Wenyu Schüssler-Fiorenza Rose, Sophia Miryam Perelman, Dalia Colbert, Elizabeth Runge, Ryan Rego, Shannon Sonecha, Ria Datta, Somalee McLaughlin, Tracey Snyder, Michael P. PLoS Biol Research Article A new wave of portable biosensors allows frequent measurement of health-related physiology. We investigated the use of these devices to monitor human physiological changes during various activities and their role in managing health and diagnosing and analyzing disease. By recording over 250,000 daily measurements for up to 43 individuals, we found personalized circadian differences in physiological parameters, replicating previous physiological findings. Interestingly, we found striking changes in particular environments, such as airline flights (decreased peripheral capillary oxygen saturation [SpO(2)] and increased radiation exposure). These events are associated with physiological macro-phenotypes such as fatigue, providing a strong association between reduced pressure/oxygen and fatigue on high-altitude flights. Importantly, we combined biosensor information with frequent medical measurements and made two important observations: First, wearable devices were useful in identification of early signs of Lyme disease and inflammatory responses; we used this information to develop a personalized, activity-based normalization framework to identify abnormal physiological signals from longitudinal data for facile disease detection. Second, wearables distinguish physiological differences between insulin-sensitive and -resistant individuals. Overall, these results indicate that portable biosensors provide useful information for monitoring personal activities and physiology and are likely to play an important role in managing health and enabling affordable health care access to groups traditionally limited by socioeconomic class or remote geography. Public Library of Science 2017-01-12 /pmc/articles/PMC5230763/ /pubmed/28081144 http://dx.doi.org/10.1371/journal.pbio.2001402 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Li, Xiao
Dunn, Jessilyn
Salins, Denis
Zhou, Gao
Zhou, Wenyu
Schüssler-Fiorenza Rose, Sophia Miryam
Perelman, Dalia
Colbert, Elizabeth
Runge, Ryan
Rego, Shannon
Sonecha, Ria
Datta, Somalee
McLaughlin, Tracey
Snyder, Michael P.
Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information
title Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information
title_full Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information
title_fullStr Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information
title_full_unstemmed Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information
title_short Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information
title_sort digital health: tracking physiomes and activity using wearable biosensors reveals useful health-related information
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5230763/
https://www.ncbi.nlm.nih.gov/pubmed/28081144
http://dx.doi.org/10.1371/journal.pbio.2001402
work_keys_str_mv AT lixiao digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation
AT dunnjessilyn digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation
AT salinsdenis digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation
AT zhougao digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation
AT zhouwenyu digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation
AT schusslerfiorenzarosesophiamiryam digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation
AT perelmandalia digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation
AT colbertelizabeth digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation
AT rungeryan digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation
AT regoshannon digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation
AT sonecharia digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation
AT dattasomalee digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation
AT mclaughlintracey digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation
AT snydermichaelp digitalhealthtrackingphysiomesandactivityusingwearablebiosensorsrevealsusefulhealthrelatedinformation