Automated video-based differentiation of sleep-related hypermotor epilepsy and parasomnia episodes

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.

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Publication Details

Journal
npj Digital Medicine
Published
2026-01-08
DOI
https://doi.org/10.1038/s41746-025-02326-2
Primary Topic
Sleep and Wakefulness Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Automated video-based differentiation of sleep-related hypermotor epilepsy and parasomnia episodes

Alessandro Consales, Francesca Odone, Maura Casadio, Marco Veneruso et al.
npj Digital Medicine
Sleep and Wakefulness Research
article

Automated video-based differentiation of sleep-related hypermotor epilepsy and parasomnia episodes

Alessandro Consales, Francesca Odone, Maura Casadio, Marco Veneruso, Pietro Mattioli, Lino Nobili, Federica Sassi, Matteo Moro, Paola Proserpio, Dario Arnaldi, Luca Baldelli, Ramona Cordani, Stefano Francione, Manconi Mauro, Luca Bosisio, Valentina Marazzotta, Laura Tassi, Federica Provini, Anna Castelnovo, Greta Mainieri, for the VISTA group
article en

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.

npj Digital MedicineVol. 9(1)
Vita-Salute San Raffaele University (IT), Istituto Giannina Gaslini (IT), Ospedale regionale di Lugano (CH), Ente Ospedaliero Cantonale (CH), Institute of Neurological Sciences (IT), Ospedale Policlinico San Martino (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT), Università della Svizzera italiana (CH), University of Genoa (IT), University of Bologna (IT)
European Commission, Ministero della Salute
Openalex Percentile: Top 96%
Sleep and Wakefulness Research
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