Automated video-based differentiation of sleep-related hypermotor epilepsy and parasomnia episodes.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 41507468.
- Also identified by DOI 10.1038/s41746-025-02326-2 and PMC identifier 12891581.
- Licence recorded as CC BY-NC-ND.
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Abstract
Distinguishing epileptic seizures from parasomnias is challenging due to overlapping motor features. This study evaluated a SlowFast deep learning model using video recordings of 167 individuals to classify Sleep-Related Hypermotor Epilepsy, Disorders of Arousal, and REM Sleep Behavior Disorder. The model achieved a mean accuracy of 83.3% across three data splits. This work represents an initial step toward developing automated tools to support clinicians in assessing sleep-related motor events.