Characteristics of motion signal profiles of tonic–clonic, tonic, hyperkinetic, and motor seizures extracted from nocturnal video recordings
Video-based motion signal analysis enabled the extraction of motion features characteristic for different motor seizure types which might be useful in further development of this system. Tonic component formed a recognizable seizure signature in the motion signal. Hyperkinetic and motor seizures may have not only significantly different motion signal amplitude but also overlapping signal profile characteristics which might hamper their automatic differentiation. Motion signals might be useful in the assessment of movement intensity changes to evaluate the treatment effect. Further research is needed to test generalizability and to increase reliability of the results.
Authors
- Jukka Peltola (ORCID: https://orcid.org/0000-0002-4119-8063)
- Petri Ojanen (ORCID: https://orcid.org/0000-0001-6798-8461)
- Csaba Kertész (ORCID: https://orcid.org/0000-0002-1558-3099)
Institutions
- Tampere University (FI)
- Tampere University Hospital (FI)
- Tampere University (FI)
Publication Details
- Journal
- Epileptic Disorders
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1002/epd2.20284
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00