Preliminary findings on a deep learning model using electroencephalogram for multi-level neuropathic pain detection in post-stroke patients
The proposed model provides a reliable solution for objective neuropathic pain detection in post-stroke patients. The framework demonstrates potential for integration into intelligent clinical decision-support and brain-computer interface-based rehabilitation systems.
Authors
- J. Sofia Bobby (ORCID: https://orcid.org/0000-0002-9258-5143)
- Sheeja V Francis
- S. Ramya
- C L Annapoorani
Institutions
- Chennai Mathematical Institute (IN)
- Jerusalem College of Technology (IL)
- Azrieli College of Engineering Jerusalem (IL)
- Jerusalem University College (IL)
- GS Engineering (United States) (US)
Publication Details
- Journal
- International Journal of Neuroscience
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1080/00207454.2025.2584081
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00