Wearable Device-Independent Next Day Activity and Next Night Sleep Prediction for Rehabilitation Populations

Autor: Allison Fellger, Gina Sprint, Douglas Weeks, Elena Crooks, Diane J. Cook

Publikováno v: IEEE Journal of Translational Engineering in Health and Medicine, Vol 8, Pp 1-9 (2020)

Wearable sensor-based devices are increasingly applied in free-living and clinical settings to collect fine-grained, objective data about activity and sleep behavior. The manufacturers of these devices provide proprietary software that labels the sen

Externí odkaz: https://doaj.org/article/866ed1b2e5de4b0395881e5fecb02d0c

Distinct circadian mechanisms govern cardiac rhythms and susceptibility to arrhythmia

Autor: Elena Crooks, Sophie M T Wehrens, Hans P. A. Van Dongen, Luigi Venetucci, Shobhan Gaddameedhi, Timothy M. Brown, John S. O’ Neill, Debra J. Skene, Andrew W. Trafford, Edward A. Hayter, Nichola J Barron, David A. Bechtold, Alessandra Stangherlin

Publikováno v: Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Nature Communications
Hayter, E A, Wehrens, S M T, Van Dongen, H P A, Stangherlin, A, Gaddameedhi, S, Crooks, E, Barron, N J, Venetucci, L A, Neill, J S O, Brown, T M, Skene, D J, Trafford, A W & Bechtold, D A 2021, ' Distinct circadian mechanisms govern cardiac rhythms and susceptibility to arrhythmia ', Nature Communications, vol. 12, no. 1, 2472 . https://doi.org/10.1038/s41467-021-22788-8

Electrical activity in the heart exhibits 24-hour rhythmicity, and potentially fatal arrhythmias are more likely to occur at specific times of day. Here, we demonstrate that circadian clocks within the brain and heart set daily rhythms in sinoatrial

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9799ab86b9df430aa2acc3f981e5e2a
https://doaj.org/article/530c60e952014c1cb2858a92a8c76775

Nighttime Sleep Duration Prediction for Inpatient Rehabilitation Using Similar Actigraphy Sequences

Autor: Elena Crooks, Alexa Andrews, Douglas L. Weeks, Gina Sprint, Allison Fellger

Publikováno v: 2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT).

Actigraphs are wearable sensors used to collect activity and sleep time series data from healthy and unhealthy populations. Unhealthy populations, such as individuals undergoing inpatient rehabilitation, typically exhibit abnormal daytime physical ac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::61042d613fe517720bcf836bbdc20a94
https://doi.org/10.1109/hi-poct45284.2019.8962839

Using Health-Related Quality of Life (SF-36v2®) to Predict Falls in Community-Dwelling Older Adults

Autor: Kimberly Cleary, Elena Crooks

Publikováno v: OBM Geriatrics. 3:1-1

Background: Falls are the leading cause of hospitalization and death among older adults; therefore, the ability to predict fall risk among older adults is critical. Several performance-based outcome measures exist to assess fall risk. Psychological f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::138a14ac523dc14ab43ae5ca23384b6f
https://doi.org/10.21926/obm.geriatr.1904082