Portable PSG for sleep stage monitoring in sports
- Current sport-scientific studies mostly neglect the assessment of sleep architecture, although the distribution of different sleep stages is considered an essential component influencing an athlete’s recovery and performance capabilities. A mobile, self-applied tool like the SOMNOwatch plus EEG might serve as an economical and time-friendly alternative to activity-based devices. However, self-application of SOMNOwatch plus EEG has not been validated against conventional polysomnography (PSG) yet. For evaluation purposes, 25 participants (15 female, 10 male; M\(_age\) = 22.92 \(\pm\) 2.03 years) slept in a sleep laboratory on two consecutive nights wearing both, conventional PSG and SOMNOwatch plus EEG electrodes. Sleep parameters and sleep stages were compared using paired \(\it t\)-tests and Bland–Altman plots. No significant differences were found between the recordings for Sleep Onset Latency, stages N1 to N3 as well as Rapid Eye Movement stage. Significant differences (Bias [95%-confidence interval]) were present between Total Sleep Time (9.95 min [−29.18, 49.08], \(\it d\) = 0.14), Total Wake Time (−13.12 min [−47.25, 23.85], \(\it d\) = −0.28), Wake after Sleep Onset (−11.70 min [−47.25, 23.85], \(\it d\) = −0.34) and Sleep Efficiency (2.18% [−7.98, 12.34], \(\it d\) = 0.02) with small effect sizes. Overall, SOMNOwatch plus EEG can be considered a valid and practical self-applied method for the examination of sleep. In sport-scientific research, it is a promising tool to assess sleep architecture in athletes; nonetheless, it cannot replace in-lab PSG for all clinical or scientific purposes.
Author: | Annika Hof zum BergeORCiDGND, Michael KellmannORCiDGND, Ulf KallweitGND, Shakila MirGND, Annika GieselmannGND, Tim Friedrich MeyerORCiDGND, Alexander FerrautiORCiDGND, Mark PfeifferORCiDGND, Sarah KöllingORCiDGND |
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URN: | urn:nbn:de:hbz:294-89133 |
DOI: | https://doi.org/10.1080/17461391.2019.1659421 |
Parent Title (English): | European journal of sport science |
Subtitle (English): | Assessment of SOMNOwatch plus EEG |
Publisher: | Taylor & Francis |
Place of publication: | London |
Document Type: | Article |
Language: | English |
Date of Publication (online): | 2022/05/06 |
Date of first Publication: | 2019/09/08 |
Publishing Institution: | Ruhr-Universität Bochum, Universitätsbibliothek |
Tag: | athletes; electrodes; electroencephalography; frontal derivation; polysomnography; self-application |
Volume: | 20 |
Issue: | 6 |
First Page: | 713 |
Last Page: | 721 |
Note: | This is an Accepted Manuscript of an article published by Taylor & Francis in "European journal of sport science" on 08.09.2019, available online: http://www.tandfonline.com/10.1080/17461391.2019.1659421. |
Dewey Decimal Classification: | Künste und Unterhaltung / Sport |
open_access (DINI-Set): | open_access |
faculties: | Fakultät für Sportwissenschaft |
Licence (German): | Keine Creative Commons Lizenz - es gelten die Rechteeinräumung und das deutsche Urheberrecht |