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Feasibility of In-Ear Single-Channel ExG for Wearable Sleep Monitoring in Real-World Settings

Lepold, Philipp ORCID iD icon 1; Leichtle, Jonas; Röddiger, Tobias ORCID iD icon 1; Beigl, Michael ORCID iD icon 1
1 Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)

Abstract:

Automatic sleep staging typically relies on gold-standard EEG se-
tups, which are accurate but obtrusive and impractical for everyday
use outside sleep laboratories. This limits applicability in real-world
settings, such as home environments, where continuous, long-term
monitoring is needed. Detecting sleep onset is particularly rele-
vant, enabling consumer applications (e.g. automatically pausing
media playback when the user falls asleep). Recent research has
shown correlations between in-ear EEG and full-scalp EEG for var-
ious phenomena, suggesting wearable, in-ear devices could allow
unobtrusive sleep monitoring. We investigated the feasibility of
using single-channel in-ear electrophysiological (ExG) signals for
automatic sleep staging in a wearable device by conducting a sleep
study with 11 participants (mean age: 24), using a custom earpiece
with a dry eartip electrode (Dätwyler SoftPulse) as a measurement
electrode in one ear and a reference in the other. Ground truth
sleep stages were obtained from an Apple Watch Ultra, validated
for sleep staging. Our system achieved 90.5% accuracy for binary
sleep detection (Awake vs. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000189319
Veröffentlicht am 07.01.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 12.10.2025
Sprache Englisch
Identifikator ISBN: 979-8-4007-1477-1
KITopen-ID: 1000189319
Erschienen in UbiComp '25: The 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing / ISWC ACM International Symposium on Wearable Computers
Veranstaltung International Symposium on Wearable Computers (UBICOMP/ISWC 2025), Espoo, Finnland, 14.10.2025 – 16.10.2025
Verlag Association for Computing Machinery (ACM)
Seiten 841–846
Schlagwörter in-ear EEG; earables; hearables; bio-potential; electrooculography;, electroencephalography; electromyography; EOG; EEG; EMG, sleep,, polysomnography
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