Rewiring the Brain: A Review on Innovations in Brain-Computer Interface for Stroke Rehabilitation

  • Unique Paper ID: 169806
  • Volume: 11
  • Issue: 6
  • PageNo: 2581-2589
  • Abstract:
  • This review paper contains information on new innovations in BCI technologies for stroke rehabilitation; the focus is on the integration of EEG systems so as to restore motor function in patients affected by stroke. The discussions mainly include developments in BCI-driven motor recovery with EEG devices that are made user- friendly along with robotic prosthetics controlled by the brain signals. For further enhancement in rehabilitation and for improved assessments, several machine learning and deep learning methods are also brought to the discussion. This review covers and highlights the development of BCI technologies in stroke rehabilitation by showing successful cases using the main EEG devices.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{169806,
        author = {Nayan Hridya Prakash and Delna M Joseph and Dr. Thontadari C and Dr Jayapriya J},
        title = {Rewiring the Brain: A Review on Innovations in Brain-Computer Interface for Stroke Rehabilitation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2581-2589},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169806},
        abstract = {This review paper contains information on new innovations in BCI technologies for stroke rehabilitation; the focus is on the integration of EEG systems so as to restore motor function in patients affected by stroke. The discussions mainly include developments in BCI-driven motor recovery with EEG devices that are made user- friendly along with robotic prosthetics controlled by the brain signals. For further enhancement in rehabilitation and for improved assessments, several  machine learning and deep learning methods are also brought to the discussion. This review covers and highlights the development of BCI technologies in stroke rehabilitation by showing successful cases using the main EEG devices.},
        keywords = {Brain Computer interface , Machine learning , Stroke Rehabilation},
        month = {November},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 6
  • PageNo: 2581-2589

Rewiring the Brain: A Review on Innovations in Brain-Computer Interface for Stroke Rehabilitation

Related Articles