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

Publication ,  Journal Article
Li, X; Dunn, J; Salins, D; Zhou, G; Zhou, W; Schüssler-Fiorenza Rose, SM; Perelman, D; Colbert, E; Runge, R; Rego, S; Sonecha, R; Datta, S ...
Published in: PLOS Biology
January 2017

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 [SpO2] 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.

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Published In

PLOS Biology

DOI

ISSN

1545-7885

Publication Date

January 2017

Volume

15

Start / End Page

e2001402 / e2001402

Related Subject Headings

  • Reproducibility of Results
  • Radiation
  • Precision Medicine
  • Patient-Specific Modeling
  • Partial Pressure
  • Oxygen
  • Insulin Resistance
  • Insulin
  • Inflammation
  • Humans
 

Citation

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Li, X., Dunn, J., Salins, D., Zhou, G., Zhou, W., Schüssler-Fiorenza Rose, S. M., … Snyder, M. P. (2017). Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information. PLOS Biology, 15, e2001402–e2001402. https://doi.org/10.1371/journal.pbio.2001402
Li, Xiao, Jessilyn Dunn, Denis Salins, Gao Zhou, Wenyu Zhou, Sophia Miryam Schüssler-Fiorenza Rose, Dalia Perelman, et al. “Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information.” Edited by Thomas Kirkwood. PLOS Biology 15 (January 2017): e2001402–e2001402. https://doi.org/10.1371/journal.pbio.2001402.
Li X, Dunn J, Salins D, Zhou G, Zhou W, Schüssler-Fiorenza Rose SM, et al. Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information. Kirkwood T, editor. PLOS Biology. 2017 Jan;15:e2001402–e2001402.
Li, Xiao, et al. “Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information.” PLOS Biology, edited by Thomas Kirkwood, vol. 15, Jan. 2017, pp. e2001402–e2001402. Manual, doi:10.1371/journal.pbio.2001402.
Li X, Dunn J, Salins D, Zhou G, Zhou W, Schüssler-Fiorenza Rose SM, Perelman D, Colbert E, Runge R, Rego S, Sonecha R, Datta S, McLaughlin T, Snyder MP. Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information. Kirkwood T, editor. PLOS Biology. 2017 Jan;15:e2001402–e2001402.
Journal cover image

Published In

PLOS Biology

DOI

ISSN

1545-7885

Publication Date

January 2017

Volume

15

Start / End Page

e2001402 / e2001402

Related Subject Headings

  • Reproducibility of Results
  • Radiation
  • Precision Medicine
  • Patient-Specific Modeling
  • Partial Pressure
  • Oxygen
  • Insulin Resistance
  • Insulin
  • Inflammation
  • Humans