Creating an algorithm to identify indices of sleep quantity and quality from a wearable armband in adults
| Autor: | Laura Grau, Jaron Arbet, Danielle M. Ostendorf, Jennifer M. Blankenship, Shelby L. Panter, Victoria A. Catenacci, Edward L. Melanson, Seth A. Creasy |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Sleep Science, Vol 15, Iss 03, Pp 279-287 (2022) |
| Druh dokumentu: | article |
| ISSN: | 1984-0659 1984-0063 |
| DOI: | 10.5935/1984-0063.20220052 |
| Popis: | Objective: To develop an algorithm to quantify indices of sleep quantity and quality using the SenseWear armband (SWA) and to compare indices of sleep from this novel algorithm to standard wrist actigraphy (Actiwatch 2; AW2) under free-living conditions. Material and Methods: Thirty participants (47±10 years; 33.0±4.8kg/m2) wore the SWA and AW2 for seven consecutive days. Participants self-reported bedtime and waketime across these 7 days. Bedtime, sleep onset, sleep offset, waketime, total sleep time (TST), time in bed (TIB), sleep effciency (SE), sleep onset latency (SOL), wake after sleep onset (WASO), sleep fragmentations (SF), sleep regularity (calculated as SD of waketime), and mid-point of sleep were calculated using each device. Results: There was significant evidence for equivalence of means (or mean ranks) for bedtime, sleep onset, sleep offset, waketime, TST, TIB, SOL, WASO, and midpoint of sleep measured by the SWA and AW2 (p |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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