respiratory-event-detection

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SHubhamanjk / sleep-respiratory-classifier

Detect breathing irregularities (hypopnea, obstructive apnea) in overnight sleep recordings by converting nasal airflow, thoracic movement, and SpO₂ into labeled 30-second windows. Train a 1D CNN with leave-one-participant-out validation and evaluate using accuracy, precision, recall, and confusion matrices.

1d-cnn polysomnography health-sensing sleep-disordered-breathing respiratory-event-detection

Updated Mar 7, 2026
Python

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