Study record · validation · 2026

Assessing the performance of a portable electroencephalographic sleep monitor against level 1 polysomnography

Lanthier M, Foti MC, Fonseca K, Higginson C, and Oksit D

Sleep Advances, zpaf089 · 2026

Why this study matters to CircaTest

The most recent and most rigorous published validation of the Muse-S headband against gold-standard level 1 PSG. Cohen's kappa of 0.76 is substantially HIGHER than the best wrist-worn device in the Schyvens 2025 multi-device comparison (Apple Watch Series 8 at kappa 0.53). This is the strongest published evidence to date that EEG-based consumer headbands meaningfully outperform PPG/accelerometry-based wrist devices for sleep stage classification — which makes editorial sense, given that the Muse-S actually measures brain activity rather than inferring it. The study tested the standard Muse-S; whether the figures generalize to the newer Muse-S Athena variant requires verification against the full paper.

Abstract

STUDY OBJECTIVES: To assess the performance of a portable electroencephalography device for sleep monitoring against polysomnography. METHOD: Fifty-six adults underwent one night of in-laboratory sleep recording with the Muse-S headband and simultaneous level 1 polysomnography. Muse-S data were scored by an automated sleep staging algorithm. A registered technologist, blind to the Muse-S automated sleep scoring, scored the polysomnography data. RESULTS: Good quality data were available for 47 (84 per cent) participants (53 per cent females; 20-71 years old; 17 per cent with sleep-related breathing disorder). Epoch-by-epoch analyses showed substantial agreement between the Muse-S and polysomnography (full night Cohen's Kappa = 0.76). Cohen's Kappa were in the fair agreement range for non-rapid eye movement (NREM) 1, substantial agreement range for NREM2 and NREM3, and near-perfect agreement range for rapid eye movement sleep and wake. Accuracy ranged from 88 per cent to 96 per cent across all sleep stages, with a sensitivity of 79-92 per cent and a specificity of 90-99 per cent. Similar results were observed in the subgroup with sleep-related breathing disorder.

Source: PUBMED · Licensed under CC-BY 4.0

Population

Sample size

n = 47

Age

20-71 years

Reference standard

psg

56 adults enrolled, good-quality data from 47 (84 percent). 53 percent female. Age 20-71. 17 percent had a sleep-related breathing disorder. Single in-laboratory night with simultaneous Muse-S and level 1 PSG.

Devices and metrics

Muse-S headband

All studies for this device →

Metric	Value	95% CI	Note
Cohen's kappa	κ = 0.76	—	Full-night Cohen's kappa for epoch-by-epoch agreement vs PSG. Substantial agreement range. The highest published kappa for any consumer sleep wearable in the CircaTest corpus.
Accuracy	96%	—	Upper bound of accuracy across sleep stages.
Accuracy	88%	—	Lower bound of accuracy across sleep stages.
Sensitivity	92%	—	Upper bound of sensitivity across sleep stages.
Sensitivity	79%	—	Lower bound of sensitivity across sleep stages.
Specificity	99%	—	Upper bound of specificity across sleep stages.
Specificity	90%	—	Lower bound of specificity across sleep stages.

Cite this study

Lanthier M, Foti MC, Fonseca K, Higginson C, and Oksit D (2026). Assessing the performance of a portable electroencephalographic sleep monitor against level 1 polysomnography. Sleep Advances. https://doi.org/10.1093/sleepadvances/zpaf089

AI-assembled record · errors are possible

This page was built and is maintained by AI working from the published abstract and PubMed metadata for the cited study. CircaTest does not have access to the full text of every paper in its corpus. Categories of error that have happened on this site and could happen again include:

Per-device metric values inferred when the abstract reports only an aggregate range
Stage-specific accuracy figures pulled from secondary sources rather than the primary paper
Sample size or population characteristics missing from the abstract
Editorial framing in the curatorial note that overstates the study's actual scope
Year typos and author-name transliteration errors

Where a metric value reads see source, the published abstract did not contain that value and CircaTest deliberately left it null rather than guess. For any decision that depends on the underlying numbers, please consult the linked PubMed, PMC, or DOI source directly. Corrections are welcome via the about page.

Source links

Added to the CircaTest meta-analysis on 2026-04-06. How CircaTest evaluates studies →