Portable PSG for sleep stage monitoring in sports: Assessment of SOMNOwatch plus EEG. Issue 6 (2nd July 2020)

• Record Type: Journal Article
• Authors: Hof Zum Berge, Annika; Kellmann, Michael; Kallweit, Ulf; Mir, Shakila; Gieselmann, Annika; Meyer, Tim; Ferrauti, Alexander; Pfeiffer, Mark; Kölling, Sarah
• Is Part Of: European journal of sport science. Volume 20:Issue 6(2020)
• Page Start: 713
• Page End: 721
• Publication Date: 2020-07-02
• Subjects: Polysomnography -- self-application -- athletes -- frontal derivation -- electrodes -- electroencephalography; Sports sciences -- Periodicals; Sports Medicine -- Periodicals; Exercise -- Periodicals; Sports -- Periodicals; 612
• DOI: 10.1080/17461391.2019.1659421
• Languages: English
• ISSNs: 1746-1391

Abstract

Abstract: 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 ± 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 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], d = 0.14), Total Wake Time (−13.12 min [−47.25, 23.85], d = −0.28), Wake after Sleep Onset (−11.70 min [−47.25, 23.85], d = −0.34) and Sleep Efficiency (2.18% [−7.98, 12.34], 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.