An adaptive frequency partitioning framework for epileptic seizure detection using TransseizNet
TransseizNet framework provides superior performance in seizure detection by efficiently integrating adaptive frequency decomposition and hybrid deep learning. Its minimal detection latency, higher accuracy, and interpretability make it suitable for practical healthcare uses.
Authors
- A. Chandrasekar
- Sasireigga Jaya Jothi (ORCID: https://orcid.org/0000-0003-3740-612X)
- G R Abijith
Institutions
- Saint Joseph's College (US)
- St. Joseph's Institute of Technology (IN)
- St. Joseph’s College of Engineering (IN)
Publication Details
- Journal
- Neurological Research
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1080/01616412.2025.2507323
- Citations
- 1
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.43