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Sleep Parameter Assessment Accuracy of a Consumer Home Sleep Monitoring Ballistocardiograph Beddit Sleep Tracker: A Validation Study
Department of Psychology and Speech-Language Pathology, University of Turku, Finland.ORCID-id: 0000-0002-3892-3199
Department of Psychology and Speech-Language Pathology, University of Turku, Finland.
Division of Medicine, Department of Pulmonary Diseases, Turku University Hospital, Turku, Finland / Sleep Research Centre, Department of Pulmonary Diseases and Clinical Allergology, University of Turku, Finland.
Högskolan i Skövde, Institutionen för biovetenskap. Högskolan i Skövde, Forskningscentrum för Systembiologi. Department of Psychology, University of Turku, Turku, Finland /Turku Brain and Mind Center, University of Turku, Turku, Finland. (Kognitiv Neurovetenskap och Filosofi, Cognitive Neuroscience and Philosophy)ORCID-id: 0000-0002-5133-8664
2019 (engelsk)Inngår i: Journal of Clinical Sleep Medicine (JCSM), ISSN 1550-9389, E-ISSN 1550-9397, Vol. 15, nr 3, s. 483-487, artikkel-id PII jc-18-00561Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Study Objectives: Growing interest in monitoring sleep and well-being has created a market for consumer home sleep monitoring devices. Additionally, sleep disorder diagnostics, and sleep and dream research would benefit from reliable and valid home sleep monitoring devices. Yet, majority of currently available home sleep monitoring devices lack validation. In this study, the sleep parameter assessment accuracy of Beddit Sleep Tracker (BST), an unobtrusive and non-wearable sleep monitoring device based on ballistocardiography, was evaluated by comparing it with polysomnography (PSG) measures. We measured total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), and sleep efficiency (SE). Additionally, we examined whether BST can differentiate sleep stages. Methods: We performed sleep studies simultaneously with PSG and BST in ten healthy young adults (5 female/5 male) during two non-consecutive nights in a sleep laboratory. Results: BST was able to distinguish SOL with some accuracy. However, it underestimated WASO and thus overestimated TST and SE. Also, it failed to discriminate between non-rapid eye movement sleep stages and did not detect the rapid eye movement sleep stage. Conclusions: These findings indicate that BST is not a valid device to monitor sleep. Consumers should be careful in interpreting the conclusions on sleep quality and efficiency provided by the device.

sted, utgiver, år, opplag, sider
2019. Vol. 15, nr 3, s. 483-487, artikkel-id PII jc-18-00561
Emneord [en]
Beddit Sleep Tracker, validation, polysomnography, sleep parameter accuracy, sleep research methods
HSV kategori
Forskningsprogram
Kognitiv neurovetenskap och filosofi
Identifikatorer
URN: urn:nbn:se:his:diva-16730DOI: 10.5664/jcsm.7682ISI: 000461417900016PubMedID: 30853052Scopus ID: 2-s2.0-85063615931OAI: oai:DiVA.org:his-16730DiVA, id: diva2:1299876
Tilgjengelig fra: 2019-03-28 Laget: 2019-03-28 Sist oppdatert: 2019-11-18bibliografisk kontrollert

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