TY - JOUR
T1 - Long-term ear-EEG monitoring of sleep – A case study during shift work
AU - Jørgensen, Sofie Drevsholt
AU - Kidmose, Preben
AU - Mikkelsen, Kaare
AU - Blech, Maxine
AU - Hemmsen, Martin Christian
AU - Rank, Mike Lind
AU - Kjaer, Troels Wesenberg
N1 - Publisher Copyright:
© 2023 The Authors. Journal of Sleep Research published by John Wiley & Sons Ltd on behalf of European Sleep Research Society.
PY - 2023/10
Y1 - 2023/10
N2 - The interest in sleep as a potential clinical biomarker is growing, but the standard method of sleep assessment, polysomnography, is expensive, time consuming, and requires a lot of expert assistance for both set-up and interpretation. To make sleep analysis more available both in research and in the clinic, there is a need for a reliable wearable device for sleep staging. In this case study, we test ear-electroencephalography. A wearable, where electrodes are placed in the outer ear, as a platform for longitudinal at-home recording of sleep. We explore the usability of the ear-electroencephalography in a shift work case with alternating sleep conditions. We find the ear-electroencephalography platform to be reliable both in terms of showing substantial agreement to polysomnography after long-time use (with an overall agreement, using Cohen's kappa, of 0.72) and by being unobtrusive enough to wear during night shift conditions. We find that fractions of non-rapid eye movement sleep and transition probability between sleep stages show great potential as sleep metrics when exploring quantitative differences in sleep architecture between shifting sleep conditions. This study shows that the ear-electroencephalography platform holds great potential as a reliable wearable for quantifying sleep “in the wild”, pushing this technology further towards clinical adaptation.
AB - The interest in sleep as a potential clinical biomarker is growing, but the standard method of sleep assessment, polysomnography, is expensive, time consuming, and requires a lot of expert assistance for both set-up and interpretation. To make sleep analysis more available both in research and in the clinic, there is a need for a reliable wearable device for sleep staging. In this case study, we test ear-electroencephalography. A wearable, where electrodes are placed in the outer ear, as a platform for longitudinal at-home recording of sleep. We explore the usability of the ear-electroencephalography in a shift work case with alternating sleep conditions. We find the ear-electroencephalography platform to be reliable both in terms of showing substantial agreement to polysomnography after long-time use (with an overall agreement, using Cohen's kappa, of 0.72) and by being unobtrusive enough to wear during night shift conditions. We find that fractions of non-rapid eye movement sleep and transition probability between sleep stages show great potential as sleep metrics when exploring quantitative differences in sleep architecture between shifting sleep conditions. This study shows that the ear-electroencephalography platform holds great potential as a reliable wearable for quantifying sleep “in the wild”, pushing this technology further towards clinical adaptation.
KW - ear-electroencephalography
KW - electroencephalography
KW - mHealth
KW - sleep
KW - wearables
KW - Sleep
KW - Sleep Stages
KW - Electroencephalography/methods
KW - Humans
KW - Polysomnography/methods
KW - Sleep Wake Disorders
KW - Shift Work Schedule
UR - http://www.scopus.com/inward/record.url?scp=85150427164&partnerID=8YFLogxK
U2 - 10.1111/jsr.13853
DO - 10.1111/jsr.13853
M3 - Journal article
C2 - 36889935
AN - SCOPUS:85150427164
SN - 0962-1105
VL - 32
JO - Journal of Sleep Research
JF - Journal of Sleep Research
IS - 5
M1 - e13853
ER -