A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection
The detection performance of the three classifiers is compared using 10-fold cross-validation. Surpassing other methods in detection accuracy. Consequently, this optimized method for epilepsy seizure detection enhances the diagnostic accuracy of epilepsy seizures.
Authors
- Jiuru Wang (ORCID: https://orcid.org/0000-0002-7078-3771)
- Haifeng Wang (ORCID: https://orcid.org/0000-0002-2946-7494)
- Wei Zhao (ORCID: https://orcid.org/0000-0002-6814-1526)
- Shuang Ma (ORCID: https://orcid.org/0000-0001-7125-5279)
- Qingxi Fu (ORCID: https://orcid.org/0000-0003-3264-1470)
- Guanqing Kong
Institutions
- Linyi University (CN)
- Linyi People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Computational Neuroscience
- Published
- 2024-11-19
- DOI
- https://doi.org/10.3389/fncom.2024.1416838
- Citations
- 8
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 2.74
Funders
- Texas Space Grant Consortium
- Xuzhou Medical University