ArticleNature and science of sleep2018
A novel in-ear sensor to determine sleep latency during the Multiple Sleep Latency Test in healthy adults with and without sleep restriction.
Article in Nature and science of sleep, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 29 citations in OpenAlex.
- A gradual and sustainable approach to diagnosing sleep and circadian disturbances in dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Review
- Sensing Technologies and Physiological Parameters for Real-Time Driver Drowsiness Detection: A Comprehensive Review.Sensors (Basel, Switzerland) · 2026Review
- A novel, wearable, in-ear EEG technology to assess sleep and daytime sleepiness.Bioelectronic medicine · 2026Article
- Clinical utility of in-ear EEG electrodes in hospitalized patients: comparison with standard scalp EEG.Clinical neurophysiology practice · 2026Article
- Advancements in Wearable EEG Technology for Improved Home-Based Sleep Monitoring and Assessment: A Review.Biosensors · 2023Review
- A comprehensive study on the efficacy of a wearable sleep aid device featuring closed-loop real-time acoustic stimulation.Scientific reports · 2023Article
- Mapping of Spatiotemporal Auricular Electrophysiological Signals Reveals Human Biometric Clusters.Advanced healthcare materials · 2022Article
- Ear-EEG for sleep assessment: a comparison with actigraphy and PSG.Sleep & breathing = Schlaf & Atmung · 2021Article
- Review
- Accurate whole-night sleep monitoring with dry-contact ear-EEG.Scientific reports · 2019Article
- Sleep Quality and Associated Factors Among Adult Cancer Patients on Treatments at Tikur Anbessa Specialized Hospital Oncology Unit, Addis Ababa, Ethiopia, 2021.Cancer control : journal of the Moffitt Cancer CenterArticle
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesDetecting sleep latency during the Multiple Sleep Latency Test (MSLT) using electroencephalogram (scalp-EEG) is time-consuming. The aim of this study was to evaluate the efficacy of a novel in-ear sensor (in-ear EEG) to detect the sleep latency, compared to scalp-EEG, during MSLT in healthy adults, with and without sleep restriction.
methodsWe recruited 25 healthy adults (28.5±5.3 years) who participated in two MSLTs with simultaneous recording of scalp and in-ear EEG. Each test followed a randomly assigned sleep restriction (≤5 hours sleep) or usual night sleep (≥7 hours sleep). Reaction time and Stroop test were used to assess the functional impact of the sleep restriction. The EEGs were scored blind to the mode of measurement and study conditions, using American Academy of Sleep Medicine 2012 criteria. The Agreement between the scalp and in-ear EEG was assessed using Bland-Altman analysis.
resultsTechnically acceptable data were obtained from 23 adults during 69 out of 92 naps in the sleep restriction condition and 25 adults during 85 out of 100 naps in the usual night sleep. Meaningful sleep restrictions were confirmed by an increase in the reaction time (mean ± SD: 238±30 ms vs 228±27 ms;
conclusionThe in-ear sensor was able to detect reduced sleep latency following sleep restriction, which was sufficient to impair both the reaction time and cognitive function. Substantial agreement was observed between the scalp and in-ear EEG when measuring sleep latency. This new in-ear EEG technology is shown to have a significant value as a convenient measure for sleep latency.
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