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Applications of Brain-Computer Interfaces (BCIS) in Neurorehabilitation

Author: Val Hyginus Udoka Eze, Ugwu Chinyere N. and Ogenyi Fabian C.
Publisher: Research Output Journal of Biological and Applied Science
Published: 2024
Section: School of Engineering and Applied Sciences

Abstract

Brain-Computer Interfaces (BCIs) have emerged as a transformative technology in the field of neurorehabilitation, offering novel solutions to enhance the recovery of motor and cognitive functions following neurological injuries or degenerative diseases. This paper explores the various applications of BCIs in neurorehabilitation, focusing on their ability to facilitate activity-dependent plasticity, provide real-time feedback, and offer patient-specific, individualized therapy. We discuss the types of BCIs, including non-invasive methods such as EEG-based systems and invasive approaches utilizing intracortical electrodes, and their respective benefits and challenges. Additionally, the paper highlights current limitations in neurorehabilitation and how BCIs can address these gaps, ultimately improving the quality of life for patients with severe motor disabilities. Future directions and emerging technologies in BCI-driven neurorehabilitation are also examined, emphasizing the potential for more effective and integrated therapeutic solutions.