Motor imagery BCI for upper limb stroke rehabilitation: An evaluation of the EEG recordings using coherence analysis

@article{Tung2013MotorIB,
  title={Motor imagery BCI for upper limb stroke rehabilitation: An evaluation of the EEG recordings using coherence analysis},
  author={Sau Wai Tung and Cuntai Guan and Kai Keng Ang and Kok Soon Phua and Chuan Chu Wang and Ling Zhao and Wei-Peng Teo and Effie Chew},
  journal={2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2013},
  pages={261-264}
}
  • S. W. Tung, Cuntai Guan, E. Chew
  • Published 1 July 2013
  • Psychology, Medicine
  • 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Brain-computer interface (BCI) technology has the potential as a post-stroke rehabilitation tool, and the efficacy of the technology is most often demonstrated through output peripherals such as robots, orthosis and computers. In this study, the EEG signals recorded during the course of upper limb stroke rehabilitaion using motor imagery BCI were analyzed to better understand the effect of BCI therapy for post-stroke rehabilitation. The stroke patients recruited underwent 10 sessions of 1-hour… 

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