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.