The impact of EEG preprocessing parameters on ultra‐low‐power seizure detection
This study provides guidance on choosing EEG preprocessing parameters for innovative developments of closed-loop neurostimulation devices to further advance the treatment of drug-resistant focal epilepsy.
Authors
- Ciamak Abkai (ORCID: https://orcid.org/0000-0001-6741-0053)
- Peter Woias (ORCID: https://orcid.org/0000-0002-4715-6032)
- Patrick Reisinger (ORCID: https://orcid.org/0000-0003-2560-708X)
- Matthias Dümpelmann (ORCID: https://orcid.org/0000-0002-1476-7777)
- Nicolas Zabler (ORCID: https://orcid.org/0000-0002-4406-1863)
- Jonathan Larochelle (ORCID: https://orcid.org/0009-0005-8096-2537)
- Laura Maria Comella (ORCID: https://orcid.org/0000-0001-8283-1454)
- Andreas Schulze‐Bonhage (ORCID: https://orcid.org/0000-0003-2382-0506)
- Sotirios Kalousios (ORCID: https://orcid.org/0009-0007-7072-9576)
Institutions
- University of Freiburg (DE)
- Precisis (Germany) (DE)
- Bernstein Center for Computational Neuroscience Freiburg (DE)
- Brain (Germany) (DE)
- Karlsruhe University of Applied Sciences (DE)
Publication Details
- Journal
- Epilepsia
- Published
- 2025-06-30
- DOI
- https://doi.org/10.1111/epi.18521
- Citations
- 1
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.43