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Validity of a Novel Research-Grade Physical Activity and Sleep Monitor for Continuous Remote Patient Monitoring.
McDevitt, Bríd; Moore, Lisa; Akhtar, Nishat; Connolly, James; Doherty, Rónán; Scott, William.
  • McDevitt B; Department of Computing, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland.
  • Moore L; Department of Science, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland.
  • Akhtar N; Department of Computing, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland.
  • Connolly J; Department of Computing, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland.
  • Doherty R; Department of Law & Humanities, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland.
  • Scott W; Department of Science, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland.
Sensors (Basel) ; 21(6)2021 Mar 13.
Article in English | MEDLINE | ID: covidwho-1136536
ABSTRACT
In the midst of the COVID-19 pandemic, Remote Patient Monitoring technologies are highly important for clinicians and researchers. These connected-health technologies enable monitoring of patients and facilitate remote clinical trial research while reducing the potential for the spread of the novel coronavirus. There is a growing requirement for monitoring of the full 24 h spectrum of behaviours with a single research-grade sensor. This research describes a free-living and supervised protocol comparison study of the Verisense inertial measurement unit to assess physical activity and sleep parameters and compares it with the Actiwatch 2 actigraph. Fifteen adults (11 males, 23.4 ± 3.4 years and 4 females, 29 ± 12.6 years) wore both monitors for 2 consecutive days and nights in the free-living study while twelve adults (11 males, 23.4 ± 3.4 years and 1 female, 22 ± 0 years) wore both monitors for the duration of a gym-based supervised protocol study. Agreement of physical activity epoch-by-epoch data with activity classification of sedentary, light and moderate-to-vigorous activity and sleep metrics were evaluated using Spearman's rank-order correlation coefficients and Bland-Altman plots. For all activity, Verisense showed high agreement for both free-living and supervised protocol of r = 0.85 and r = 0.78, respectively. For physical activity classification, Verisense showed high agreement of sedentary activity of r = 0.72 for free-living but low agreement of r = 0.36 for supervised protocol; low agreement of light activity of r = 0.42 for free-living and negligible agreement of r = -0.04 for supervised protocol; and moderate agreement of moderate-to-vigorous activity of r = 0.52 for free-living with low agreement of r = 0.49 for supervised protocol. For sleep metrics, Verisense showed moderate agreement for sleep time and total sleep time of r = 0.66 and 0.54, respectively, but demonstrated high agreement for determination of wake time of r = 0.83. Overall, our results showed moderate-high agreement of Verisense with Actiwatch 2 for assessing epoch-by-epoch physical activity and sleep, but a lack of agreement for activity classifications. Future validation work of Verisense for activity cut-point potentially holds promise for 24 h continuous remote patient monitoring.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Sleep / Telemetry / Exercise / Telemedicine / Monitoring, Ambulatory / Actigraphy / Accelerometry Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Language: English Year: 2021 Document Type: Article Affiliation country: S21062034

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Sleep / Telemetry / Exercise / Telemedicine / Monitoring, Ambulatory / Actigraphy / Accelerometry Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Language: English Year: 2021 Document Type: Article Affiliation country: S21062034