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Published on 22 November 2024
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Zhu,J. (2024). Application of Brain-Computer Interface Technology in Neurorehabilitation. Theoretical and Natural Science,63,56-61.
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Application of Brain-Computer Interface Technology in Neurorehabilitation

Jingjing Zhu *,1,
  • 1 Washington Academy, East Machias, Maine, USA

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/63/20241572

Abstract

Neurorehabilitation is a very important area that aims at bettering lives of patients who have neurological disorders and have severely damaged motor functions and impaired communications abilities. Brain-Computer Interface (BCI) technology has emerged as one of the highly promising tools in the application of neurorehabilitation, having innovations in motor recovery, speech restoration, and independence for patients. This review presents the applications and efficiency of brain-computer interface technology in neurorehabilitation procedures related to high-incidence neurological disorders like stroke, traumatic brain injury, and spinal cord injury, and complex neurological disorders like amyotrophic lateral sclerosis, multiple sclerosis, and cerebral palsy. Among these, some BCI approaches, mostly based on electroencephalographic recordings, have shown promising potential for motor recovery, communication, and improvement of independence in patients. It discusses key modalities like motor imagery-based training, neurofeedback, and robotic assistance, together with the landmark studies proving their efficacy. Moreover, it pays attention to basic and clinical research and points out the challenges and future directions for the alleviation of limitations in BCI technology. Despite the fact that BCI technology still has some basic problems at this point in terms of signal acquisition, processing, and individual training, there is huge potential for application in developing neurorehabilitation and improving the quality of life of those patients who have undergone serious neurological injury.

Keywords

Brain-Computer Interface, Neurorehabilitation, Motor Imagery, Neurofeedback, Robotic Assistance.

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Cite this article

Zhu,J. (2024). Application of Brain-Computer Interface Technology in Neurorehabilitation. Theoretical and Natural Science,63,56-61.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 4th International Conference on Biological Engineering and Medical Science

Conference website: https://2024.icbiomed.org/
ISBN:978-1-83558-729-4(Print) / 978-1-83558-730-0(Online)
Conference date: 25 October 2024
Editor:Alan Wang
Series: Theoretical and Natural Science
Volume number: Vol.63
ISSN:2753-8818(Print) / 2753-8826(Online)

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