Bringing BCI into the clinic
Non-invasive monitoring and assessment for disorders of consciousness — objective, quantifiable tools for the clinic.
From coma to emergence — one continuous spectrum
No sleep-wake cycle
Eyes open, no command following
Visual pursuit / emotional response
Stable command following
Functional communication
Subjective
CRS-R scale misses residual awareness
Not home-based
fMRI / PET can't enter the home
Unmet needs
Families long for communication & feedback
One core platform, three extending ends
De-identified data · Care guidance · Alerts
Remote review · Structured reports
Group statistics · Offline deep decoding
data.neurorein.com
Data acquisition → Clinical decision → Family participation → Research iteration
Home-based multimodal monitoring & assessment
EEG at the core, physiology assisting — passive, continuous, quantified
22 hours overnight, closing the full loop
Non-invasive · Compliant · Secure
Non-invasive
Ethical
Data security
From bedside to the full care chain
- BedsideCompleted
- Family AppPrototype
- Medical InstitutionDesigned
- ResearchBuilt
- Near-term12 monthsFamily App & Medical Institution beta
- Mid-term1–2 yearsMedical Institution release + group statistics
- Long-termRegistration + insurance pilot + full chain
Welcome families of patients to contact us
Devices & services · fully free
Currently in the clinical research phase
Disclaimer
Disclaimer
NeuroRein_UWS is a non-invasive brain-computer interface monitoring and assessment platform developed by Hangzhou Yuyi Technology; the current version is for clinical research use only, has not yet obtained medical device registration, and its ethics review is still in progress. The system passively and non-invasively collects EEG and physiological signals, and serves only to assist monitoring and assessment of consciousness and brain-function trends — it performs no therapeutic intervention. Its outputs are for doctors' clinical reference only, do not constitute a clinical diagnosis, and do not replace the independent judgment of a licensed doctor. All use follows data-protection measures including de-identification, informed consent, encryption, and audit logging.