Brain-computer interfaces (BCIs) represent a transformative frontier in neurorehabilitation, offering treatment for individuals recovering from neurological injuries and disorders. By linking the brain’s activity to external devices, BCIs enable communication and control without relying on the body’s motor pathways, a powerful tool for patients affected by neurodegenerative diseases. Through real-time monitoring and adaptive feedback, these systems promote neural plasticity and accelerate recovery. As technology and neuroscience intersect, BCIs redefine the boundaries of rehabilitation, moving from assistive applications toward restorative therapies that harness the brain’s ability to heal and adapt. Brain-Computer Interfaces for Neurorehabilitation explores the intersection of BCI technologies and blockchain in the context of neurorehabilitation and cognitive learning systems. It offers an interdisciplinary approach, bridging neuroscience, biomedical engineering, cryptographic systems, and AI, delving into how BCIs can decode neural signals to enable communication and motor control for patients with disabilities. This book covers topics such as neuroscience, personalized therapy, and blockchain, and is a useful resource for medical and healthcare professionals, neurologists, computer engineers, academicians, researchers, and scientists.
