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Comparison of a single‐channel EEG sleep study to polysomnography
Author(s) -
Lucey Brendan P.,
Mcleland Jennifer S.,
Toedebusch Cristina D.,
Boyd Jill,
Morris John C.,
Landsness Eric C.,
Yamada Kelvin,
Holtzman David M.
Publication year - 2016
Publication title -
journal of sleep research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.297
H-Index - 117
eISSN - 1365-2869
pISSN - 0962-1105
DOI - 10.1111/jsr.12417
Subject(s) - polysomnography , electroencephalography , audiology , non rapid eye movement sleep , slow wave sleep , sleep stages , sleep (system call) , psychology , medicine , neuroscience , computer science , operating system
Summary An accurate home sleep study to assess electroencephalography ( EEG )‐based sleep stages and EEG power would be advantageous for both clinical and research purposes, such as for longitudinal studies measuring changes in sleep stages over time. The purpose of this study was to compare sleep scoring of a single‐channel EEG recorded simultaneously on the forehead against attended polysomnography. Participants were recruited from both a clinical sleep centre and a longitudinal research study investigating cognitively normal ageing and Alzheimer's disease. Analysis for overall epoch‐by‐epoch agreement found strong and substantial agreement between the single‐channel EEG compared to polysomnography ( κ = 0.67). Slow wave activity in the frontal regions was also similar when comparing the single‐channel EEG device to polysomnography. As expected, Stage N1 showed poor agreement (sensitivity 0.2) due to lack of occipital electrodes. Other sleep parameters, such as sleep latency and rapid eye movement ( REM ) onset latency, had decreased agreement. Participants with disrupted sleep consolidation, such as from obstructive sleep apnea, also had poor agreement. We suspect that disagreement in sleep parameters between the single‐channel EEG and polysomnography is due partially to altered waveform morphology and/or poorer signal quality in the single‐channel derivation. Our results show that single‐channel EEG provides comparable results to polysomnography in assessing REM , combined Stages N2 and N3 sleep and several other parameters, including frontal slow wave activity. The data establish that single‐channel EEG can be a useful research tool.