The Ultra-Long-Term Sleep study : Design, rationale, data stability and user perspective

© 2024 The Authors. Journal of Sleep Research published by John Wiley & Sons Ltd on behalf of European Sleep Research Society..

Sleep deprivation and poor sleep quality are significant societal challenges that negatively impact individuals' health. The interaction between subjective sleep quality, objective sleep measures, physical and cognitive performance, and their day-to-day variations remains poorly understood. Our year-long study of 20 healthy individuals, using subcutaneous electroencephalography, aimed to elucidate these interactions, assessing data stability and participant satisfaction, usability, well-being and adherence. In the study, 25 participants were fitted with a minimally invasive subcutaneous electroencephalography lead, with 20 completing the year of subcutaneous electroencephalography recording. Signal stability was measured using covariance of variation. Participant satisfaction, usability and well-being were measured with questionnaires: Perceived Ease of Use questionnaire, System Usability Scale, Headache questionnaire, Major Depression Inventory, World Health Organization 5-item Well-Being Index, and interviews. The subcutaneous electroencephalography signals remained stable for the entire year, with an average participant adherence rate of 91%. Participants rated their satisfaction with the subcutaneous electroencephalography device as easy to use with minimal or no discomfort. The System Usability Scale score was high at 86.3 ± 10.1, and interviews highlighted that participants understood how to use the subcutaneous electroencephalography device and described a period of acclimatization to sleeping with the device. This study provides compelling evidence for the feasibility of longitudinal sleep monitoring during everyday life utilizing subcutaneous electroencephalography in healthy subjects, showcasing excellent signal stability, adherence and user experience. The amassed subcutaneous electroencephalography data constitutes the largest dataset of its kind, and is poised to significantly advance our understanding of day-to-day variations in normal sleep and provide key insights into subjective and objective sleep quality.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - year:2024

Enthalten in:

Journal of sleep research - (2024) vom: 04. Apr., Seite e14197

Sprache:

Englisch

Beteiligte Personen:

Ahrens, Esben [VerfasserIn]
Jennum, Poul [VerfasserIn]
Duun-Henriksen, Jonas [VerfasserIn]
Borregaard, Helle W S [VerfasserIn]
Nielsen, Sofie Sylvest [VerfasserIn]
Taptiklis, Nick [VerfasserIn]
Cormack, Francesca [VerfasserIn]
Djurhuus, Bjarki Ditlev [VerfasserIn]
Homøe, Preben [VerfasserIn]
Kjær, Troels W [VerfasserIn]
Hemmsen, Martin Christian [VerfasserIn]

Links:

Volltext

Themen:

Actigraphy
Chronobiology
Home monitoring
Journal Article
Psychomotor vigilance task
Sleep monitoring, subcutaneous electroencephalogram
Ultra‐long‐term electroencephalogram monitoring

Anmerkungen:

Date Revised 04.04.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.1111/jsr.14197

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM370622456