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Validated
EEG /
Brain Signals
Brain-State Pattern Recognition
109-subject benchmark · cross-patient screening
109
Subjects Validated
Cross-Patient
No Per-Patient Tuning
Public
Benchmark Dataset
Multi-State
Resting · Task · Sleep
Brain-State Recognition
From EEG Recordings to Brain States
Distinguishes brain states from raw EEG recordings using patterns that generalize across subjects.
Capabilities
What this domain delivers
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Brain-State Separation
Distinguishes resting, task-active, and sleep states from raw EEG recordings without per-subject tuning.
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Cross-Subject Generalization
Patterns learned on one group of subjects transfer to new subjects without retraining.
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Multi-Channel Analysis
Works across full EEG montages, capturing spatial and temporal structure together.
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Research-Grade Methodology
Validated on a public 109-subject benchmark used in academic neuroscience research.
Neuroscience & Clinical Research Teams
We support brain-signal research with cross-patient pattern detection and reproducible methodology.
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