EEG-based cerebral pattern analysis for neurological disorder detection via hybrid machine and deep learning approaches
The hybrid RF-CNN approach enhances more reliable analysis of altered non-linear brain dynamics and transitional phases, making it a valuable tool for detecting neurological disorders.
Authors
- Takenao Sugi (ORCID: https://orcid.org/0000-0002-6891-6299)
- Kusum Tara
- Takao Yamasaki (ORCID: https://orcid.org/0000-0002-3449-3988)
- Ruimin Wang (ORCID: https://orcid.org/0000-0002-0697-2893)
- Takako Mitsudo (ORCID: https://orcid.org/0000-0002-4123-4247)
- Satoru Goto (ORCID: https://orcid.org/0000-0001-8492-8233)
- Yoshitaka Matsuda
Institutions
- Saga University (JP)
- Fukuoka International University (JP)
- Hizen Psychiatric Center (JP)
Publication Details
- Journal
- Journal of Neuroscience Methods
- Published
- 2025-08-14
- DOI
- https://doi.org/10.1016/j.jneumeth.2025.110551
- Citations
- 2
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 2.86