Built to measure and understand sleep over months, not days
Longitudinal sleep EEG and sleep metrics you can use as a primary endpoint, biomarker, or covariate in your trials and research.
- 98%
Data capture rate unsupervised at home
- 18 mo
Longest ongoing continuous study
- <5%
Trial dropout across latest 3 studies
Past populations include
Sleep matters in trials.
Recording it shouldn't be the bottleneck.
As a primary endpoint
In insomnia, narcolepsy, restless legs, and circadian disorders.
As a biomarker
In neurology and psychiatry, tracking disease progression and treatment response.
As a covariate
In pain, oncology, metabolic, and cardiology trials, controlling for a major source of variance.
TOSOO AXORA EEG
Clinical-grade sleep EEG, built for at-home trials
AXORA EEG records continuous, longitudinal sleep data in patients' homes. Wavescope manages the study end to end, from device fleet and participant onboarding to automated quality checks and full raw EEG access.
EEG Headband
-mobile.svg)
.svg)
.svg)
Clinical-grade EEG signal
Precision snap-on wet electrodes and a mobile EEG amplifier ensure a highly reliable signal.
Built for long-term at-home use
Soft, lightweight, washable textile, available in sizes from children to adults.
Patient App
Easy self-applied setup
Worn in 20 seconds. Guided app setup. Validated in elderly and cognitively impaired patients.
Wavescope
End-to-end Trial Management
Device and participant management, automated data pipelines and quality checks, and support until publication.
Dropout rate
Data capture rate
Rated device easy to use
Serious adverse events
Past populations include
SLEEP IN CLINICAL TRIALS
Optimized for the
signals that matters
Whether sleep is your primary endpoint or a secondary measure, our EEG platform delivers medical-grade data across your cohort. We optimised for comfort and simplicity because the best data comes from patients who keep wearing the device.
Sleep continuity
- Sleep onset latency (SOL)
- Total sleep time (TST)
- Wake after sleep onset (WASO)
- Sleep efficiency
Sleep architecture
- N1 duration & %
- N3 duration & %
- N2 duration & %
- REM duration & %
Sleep microstructure
- Slow-wave activity
- SO–spindle coupling
- Sleep spindles
- K-complexes
Movement & Position
- Body position
- Movement index
- Position changes
ALGORITHM VALIDATION
Benchmarked against
expert manual scoring
AXORA's sleep staging reaches κ 0.79 agreement with expert manual scoring across a broad age range (20–75+ years) and a variety of clinical profiles, including neurodegenerative populations. The result is built on 15+ peer-reviewed studies spanning tens of thousands of hours of EEG data.
vs. experts across indications
Peer-reviewed publications
ADAPTABILITY
One platform, every patient
AXORA fits the full range of human anatomy, with sizing from pediatric to geriatric across all age groups, and a track record spanning many clinical indications.
Technical Specifications
Built to instrument standards
Clinical-grade signal acquisition, on-device storage, and standard research interfaces — engineered for unattended multi-month deployments at home.
General
Battery
Data
Our team can answer detailed questions about signal quality, data formats, regulatory status, and integration.
Request AXORA
Tell us about your research and we'll get back to you.
Frequently asked questions
AXORA EEG delivers clinical-grade EEG signal quality on part with polysomnography. Our wet electrode setup ensures reliable contact and signal integrity.
Our automated sleep staging has been validated against expert manually scored hypnograms (AASM criteria) and achieves a Cohen's kappa of 0.79 (95% CI 0.77–0.82). This is consistent with the inter-rater reliability typically observed between human sleep scorers, meaning the algorithm agrees with expert scoring about as closely as expert scorers agree with each other.
Yes. AXORA EEG is available in five different sizes to fit a wide range of head circumferences, including a paediatric sizes and models for children. For special populations or custom requirements, we can accommodate additional size specifications on request.
AXORA EEG uses 3 electrodes resulting in 1 active channel for analysis, positioned over the frontal lobe. Frontal EEG captures the clinically relevant sleep endpoints including slow-wave activity, sleep spindles, and full sleep staging. This design is a deliberate choice to maximise wearability and long-term compliance.
No. AXORA EEG is optimised for longitudinal at-home sleep research, not for spatial localisation of brain activity. If your study requires source localisation or high-density cortical mapping, a laboratory setup would be more appropriate. We are happy to discuss whether your endpoints are achievable with our setup.
No. AXORA EEG is built from soft, lightweight, washable textile specifically designed for all-night wear. Our clinical trials, including studies running 18+ months, show very low dropout rates, indicating high patient acceptance and comfort across extended study durations, including in elderly populations.
Consumer wearables use accelerometry and heart rate sensors to estimate sleep stages — they do not measure brain activity directly. Independent research has shown that leading consumer devices fail to correctly identify 30–50% of deep sleep and REM epochs compared to PSG. AXORA measures EEG directly from the brain, enabling accurate sleep staging and microstructure endpoints that no wrist-worn device can provide.
References
- Horlacher et al. (2025). Home-based deep sleep modulation in Parkinson's disease: Extension study on long-term feasibility and sleep-related outcomes. [Preprint]. Research Squarehttps://doi.org/10.21203/rs.3.rs-7829414/v1
- Eicher et al. (2025). State-dependent effects of slow-wave suppression in major depression: A randomized crossover trial. [Preprint].
- Zeller, C. J., Züst, M. A., Wunderlin, M., Nissen, C., & Klöppel, S. (2023). The promise of portable remote auditory stimulation tools to enhance slow-wave sleep and prevent cognitive decline. , Journal of Sleep Research(4), e13818. 32https://doi.org/10.1111/jsr.13818