Seizure classification using a multimodal seizure monitoring system (Nelli) in Dravet and Lennox–Gastaut syndromes: A non‐randomized, single‐center feasibility study
Nelli demonstrated high sensitivity and classification accuracy for detecting and categorizing seizures in bed in patients with DS and LGS, outperforming seizure diaries and providing a reliable tool for seizure monitoring in home settings.
Authors
- Kaapo Annala
- Jukka Peltola (ORCID: https://orcid.org/0000-0002-4119-8063)
- Line Kønig Wilms
- Morten I. Lossius (ORCID: https://orcid.org/0000-0002-5982-7737)
- Kaisa Elomaa (ORCID: https://orcid.org/0000-0003-1167-699X)
- Jonas Abdel‐Khalik (ORCID: https://orcid.org/0000-0002-6356-3682)
- Lena Fanter (ORCID: https://orcid.org/0000-0002-9631-739X)
Institutions
- University of Oslo (NO)
- Takeda (Switzerland) (CH)
- Tampere University Hospital (FI)
- Tampere University (FI)
- Takeda (Denmark) (DK)
- Filadelfia (DK)
- Takeda (Japan) (JP)
Publication Details
- Journal
- Epilepsia
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1111/epi.18640
- Primary Topic
- Epilepsy research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00