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Muse for Sleep Research

At-home sleep EEG that won’t compromise your study

88–96% staging accuracy validated against PSG. Multi-night home recordings in a 41-gram headband. Raw EEG, fNIRS, PPG, and accelerometer data — your analysis pipeline, your way.

Muse S Athena

One device

Every signal you need.

Muse S Athena integrates what used to require three separate systems — all in an incredibly comfortable headband your participants can self-apply in minutes.

  • 4ch EEG256 Hz dry
  • fNIRSL+R prefrontal
  • PPG + SpO264 Hz optical
  • Accel/Gyro3-axis 52 Hz
  • +4 auxEEG/EOG EMG
  • 41g10hr battery

CE, FCC & UL certified. Suitable for adult and pediatric studies. Compatible with Muse 2, Muse S, and Athena.

Independently validated

Validated
where it matters

Independently validated against Level 1 polysomnography by the Canadian Sleep Research Consortium. Published in SLEEP Advances (Oxford Academic, 2025). Sensitivity of 79–92% and specificity of 90–99% across all sleep stages.

Read our sleep studies
  • 0.76 Cohen’s Kappa
  • 88–96% Staging accuracy
  • 200+ Peer-reviewed publications
  • 16.8M EEG sessions in database

Researcher workflow

From grant to data

in weeks, not months

  1. 01

    Scope your study

    Platform configuration and pricing for your study or grant

  2. 02

    Contracting with your institution

    We are currently approved by 50+ global hospitals and universities and their IRBs

  3. 03

    Provision Devices

    Set up in under 5 minutes. No technician. Comfortable enough for 30+ nights.

  4. 04

    Monitor remotely

    Check each participant’s signal quality the next morning via the dashboard.

  5. 05

    Export and analyze

    Receive raw EEG and bio data in EDF and CSV and processed sleep metrics in CSV compatible with sleep research analysis pipelines

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Tell us what you’re trying to do

Frequency (Hz)
Muse Data
Spectrogram of Muse data
Time (hours)
Frequency (Hz)
Sleep Lab Data
Spectrogram of Muse data
Time (hours)
Sleep stageW
Sleep Expert Validated Hypnogram
Spectrogram of Muse data
Time (hours)
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Used worldwide

Trusted across populations and conditions

Used in studies spanning autism, Parkinson's, MCI, TBI, OCD, chronic pain, Alzheimer's, insomnia, muscular dystrophy, pregnancy, and pediatric populations. Published by Mayo Clinic, University of Ottawa, MIT, Harvard, Yale, and hundreds of independent labs.

  • Institution
  • Institution
  • Institution
  • Institution

Research capabilities

What you can do with Muse

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  • At-home sleep tracking

    Primary

    Muse S Athena integrates what used to require three separate systems — all in a soft fabric headband your participants can self-apply in minutes.

  • Closed-loop stimulation

    Unique

    Programmable TMR, deep sleep stimulation, and custom protocols for interventional studies. Most competitors are measurement-only.

  • EEG + fNIRS collection

    Continuous or task-based data capture. Baseline recordings, real-world monitoring, or in-lab protocols.

  • Cognitive and ERP tasks

    Stroop, Flankers, N-back, Go/No-Go, Oddball on mobile. EEG + ERP + fNIRS + task performance simultaneously.

Partner platform

Monitor every participant,

every morning

Your secure research dashboard shows data quality, session completion, and staging results across your entire cohort. Catch signal issues before they cost you a data point. HIPAA and GDPR compliant.

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Built for researchers

Why researchers choose Muse

  • “I need EEG level sleep accuracy, not estimates of sleep”

    4-channel 256 Hz EEG from four scalp positions with full raw data access. Not a wrist tracker guessing from motion. Not a single ear sensor. Brain data from real electrodes.

  • “It has to be comfortable for 30+ nights”

    41-gram fabric headband. No adhesive. No forehead patch that peels off at 3am. Participants self-apply in minutes. Compliance stays high across multi-night protocols.

  • “I want to test customized sleep research protocols like closed loop stimulation”

    Programmable closed-loop stimulation: targeted memory reactivation, auditory deep sleep enhancement, and custom protocols. Run interventional studies, not just observational ones.

  • “We need an independently validated platform”

    88–96% accuracy across all stages. Cohen’s Kappa 0.76. Published in SLEEP Advances by the Canadian Sleep Research Consortium. 200+ independent peer-reviewed papers worldwide.

  • “We need data we can plug into our pipeline”

    Raw data access in EDF and CSV that fit into your existing pipelines, or stream via LSL.

Expert-level sleep data

Macro and micro sleep architecture

Every night captured in full: sleep spindles, K complexes, slow waves, and complete staging from Wake through N1, N2, N3, and REM. Automated scoring achieves expert-level agreement.

View the validation paper

Expert-level sleep data

Macro and micro sleep architecture

Every night captured in full: sleep spindles, K complexes, slow waves, and complete staging from Wake through N1, N2, N3, and REM. Automated scoring achieves expert-level agreement.

View the validation paper
Frequency (Hz)
Muse Data
Spectrogram of Muse data
Frequency (Hz)
Sleep Lab Data
Spectrogram of Muse data
Sleep stageW
Sleep Expert Validated Hypnogram
Spectrogram of Muse data
Time (hours)
Request a demo

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Tell us what you're trying to do

Frequently asked questions

Frequently asked questions

Has Muse's sleep staging been validated against polysomnography (PSG)?

Yes. Muse's sleep staging has been independently validated against polysomnography, the clinical gold standard. The Lanthier et al. (2025) study published in SLEEP Advances reported a Cohen's kappa of 0.76 (expert scoring agreement in 0.75) and per-stage accuracy of 88–96%, which is comparable to inter-rater agreement between expert PSG scorers. This validation was conducted independently and is not manufacturer-funded.

The Muse’s sleep scoring is based on EEG alone, and is considerably more accurate than sleep wearables on the finger or wrist (actigraphy)

Is there a validation study for Muse's EEG data quality?

Yes. Multiple independent peer-reviewed studies have validated Muse EEG data quality across sleep, meditation, and cognitive research applications.

In a 2025 study published in SLEEP Advances, Lanthier et al. validated the Muse S headband against simultaneous polysomnography in 56 adults, finding 88–96% per-stage accuracy and a Cohen's kappa of 0.76 — comparable to inter-rater agreement between expert PSG scorers (view study). 

Is Muse eligible for NIH or other grant funding?

Yes. Muse devices have been used in multiple NIH-funded research studies, and the National Institute of Mental Health (NIMH) currently uses Muse in their own research programs. This makes Muse an eligible and precedented budget line item in NIH, CIHR, and NSF grant applications, as well as with multiple other granting agencies. The Muse research team can provide budget justification documentation and cost comparison templates to support grant applications.

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