Annika Hof zum Berge, M. Kellmann, U. Kallweit, S. Mir, A. Gieselmann, T. Meyer, A. Ferrauti, M. Pfeiffer, S. Kölling
{"title":"便携式PSG用于运动中睡眠阶段监测:SOMNOwatch + EEG的评估","authors":"Annika Hof zum Berge, M. Kellmann, U. Kallweit, S. Mir, A. Gieselmann, T. Meyer, A. Ferrauti, M. Pfeiffer, S. Kölling","doi":"10.1080/17461391.2019.1659421","DOIUrl":null,"url":null,"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.","PeriodicalId":12061,"journal":{"name":"European Journal of Sport Science","volume":"22 1","pages":"713 - 721"},"PeriodicalIF":2.4000,"publicationDate":"2019-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Portable PSG for sleep stage monitoring in sports: Assessment of SOMNOwatch plus EEG\",\"authors\":\"Annika Hof zum Berge, M. Kellmann, U. Kallweit, S. Mir, A. Gieselmann, T. Meyer, A. Ferrauti, M. Pfeiffer, S. Kölling\",\"doi\":\"10.1080/17461391.2019.1659421\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":12061,\"journal\":{\"name\":\"European Journal of Sport Science\",\"volume\":\"22 1\",\"pages\":\"713 - 721\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2019-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Sport Science\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/17461391.2019.1659421\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Sport Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17461391.2019.1659421","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 9
摘要
目前的运动科学研究大多忽视了睡眠结构的评估,尽管不同睡眠阶段的分布被认为是影响运动员恢复和表现能力的重要组成部分。像SOMNOwatch + EEG这样的移动、自应用工具可能是一种经济且时间友好的替代基于活动的设备。然而,SOMNOwatch + EEG的自我应用尚未与传统的多导睡眠图(PSG)进行对比验证。为评估目的,25名参与者(15名女性,10名男性;M(年龄= 22.92±2.03岁)连续两晚在睡眠实验室睡眠,同时佩戴常规PSG和SOMNOwatch + EEG电极。采用配对t检验和Bland-Altman图比较睡眠参数和睡眠阶段。睡眠潜伏期、N1 ~ N3阶段和快速眼动阶段的记录无显著差异。总睡眠时间(9.95 min [- 29.18, 49.08], d = 0.14)、总清醒时间(- 13.12 min [- 47.25, 23.85], d = - 0.28)、睡眠后清醒时间(- 11.70 min [- 47.25, 23.85], d = - 0.34)和睡眠效率(2.18% [- 7.98,12.34],d = 0.02)之间存在显著差异(Bias[95%可信区间]),且效应值较小。综上所述,SOMNOwatch + EEG可以被认为是一种有效和实用的自我应用的睡眠检查方法。在运动科学研究中,它是评估运动员睡眠结构的一个很有前途的工具;尽管如此,它不能取代所有临床或科学目的的实验室PSG。
Portable PSG for sleep stage monitoring in sports: Assessment of SOMNOwatch plus EEG
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.
期刊介绍:
The European Journal of Sport Science (EJSS) is the official Medline- and Thomson Reuters-listed journal of the European College of Sport Science. The editorial policy of the Journal pursues the multi-disciplinary aims of the College: to promote the highest standards of scientific study and scholarship in respect of the following fields: (a) Applied Sport Sciences; (b) Biomechanics and Motor Control; c) Physiology and Nutrition; (d) Psychology, Social Sciences and Humanities and (e) Sports and Exercise Medicine and Health.