Deep learning–based detection of generalized convulsive seizures using a wrist‐worn accelerometer

This Phase 2 clinical validation study suggests that deep learning techniques applied to single-sensor accelerometer data can achieve high CS detection performance while enabling tunable sensitivity.

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Publication Details

Journal
Epilepsia
Published
2025-04-23
DOI
https://doi.org/10.1111/epi.18406
Citations
5
Primary Topic
Epilepsy research and treatment
Type
article
Field-Weighted Citation Impact
7.36

Funders

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article

Deep learning–based detection of generalized convulsive seizures using a wrist‐worn accelerometer

Jonathan Dan, Pauline Ducouret, Sylvain Rheims, Martin Fabricius et al.
5 citations
Epilepsia
Epilepsy research and treatment
7.36
article

Deep learning–based detection of generalized convulsive seizures using a wrist‐worn accelerometer

Jonathan Dan, Pauline Ducouret, Sylvain Rheims, Martin Fabricius, Philippe Ryvlin, Lukas Imbach, Sándor Beniczky, Bernhard J. Steinhoff, Margitta Seeck, Antoine Spahr, Adriano Bernini, Johannes Koren, Isabelle Beuchat, Sidsel Armand Larsen, David Atienza, Christoph Baumgartner, Charles‐Edouard Bardyn
article en
5 citations

Abstract

This Phase 2 clinical validation study suggests that deep learning techniques applied to single-sensor accelerometer data can achieve high CS detection performance while enabling tunable sensitivity.

EpilepsiaVol. 66(S3)
Université Claude Bernard Lyon 1 (FR), Sigmund Freud Privatuniversität Wien (AT), University of Geneva (CH), Centre National de la Recherche Scientifique (FR), University of Freiburg (DE), Aarhus University Hospital (DK), Copenhagen University Hospital (DK), Rigshospitalet (DK), Klinik Hietzing (AT), Centre de Recherche en Neurosciences de Lyon (FR), Hospices Civils de Lyon (FR), Swiss Epilepsy Center (CH), Diakonie Kork (DE), École Polytechnique Fédérale de Lausanne (CH), University of Lausanne (CH)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Centre Hospitalier Universitaire Vaudois
Openalex Percentile: Top 3%
Epilepsy research and treatment
7.36
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