| Title | Brain–Computer Interface Technology for Medical Rehabilitation: Enhancing Neuroplasticity and Patient Recovery |
| Research Area | Brain–Computer Interface |
| Abstract | Brain–Computer Interface (BCI) technology has emerged as a promising tool in medical rehabilitation, enabling direct communication between the human brain and external devices. By decoding neural signals and translating them into control commands, BCIs support rehabilitation of patients suffering from neurological disorders such as stroke, spinal cord injury, and neurodegenerative diseases. This paper presents a comprehensive study of BCI-based rehabilitation systems, focusing on signal acquisition methods, machine learning-based signal processing, and therapeutic applications. Experimental studies and clinical trials indicate that BCI-assisted rehabilitation enhances motor recovery, promotes neuroplasticity, and improves patient engagement compared to conventional therapy. The paper also discusses technical, ethical, and clinical challenges and outlines future directions for scalable and patient-centric BCI rehabilitation systems. |
| Keywords | Brain–Computer Interface, Medical Rehabilitation, Neuroplasticity, EEG, Motor Recovery, Assistive Technology |
| Paper Status | Published |
| Volume | 2 |
| Issue | 2 |
| Published On | 11/01/2026 |
| Published File |
IJSRTD_4872.pdf
|