Contributors

Zhang, Bao; Chen, Lin; Chen, Wenbo; Chen, Ying; Dingwell, Donald B.; Feng, Jing; Gong, Shengkai; Guo, Hao; Guo, Xingye; Guo, Yiqian; He, Dingyong; He, Jian; He, Wei; Huang, Taihong; Xu, Guangnan; Li, Luo; Mauer, Georg; Naumenko, D.; Hui, Pei; Quadakkers, W. J.; Schulz, Uwe; Song, Ping; Song, Wook; Vaßen, Robert; Wang, Jun; Wei, Liangliang; Xu, Huibin; Xu, Pengyun; Zhang, Xue; Yang, Guan-Jun; Yang, Kailong; Yang, Li; Yao, Haoyu; Zhang, Jianqiang; Zhang, Jing; Zhao, Xiujian; Zhou, Dapeng; Zhou, Qianqian; Zhou, Yue

doi:10.1016/b978-0-12-819027-2.09990-9

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How Brain-computer Interfaces Work1

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2023

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“…In the case of a one-way brain-computer interface, the computer either receives commands from the brain or sends signals to the brain (such as video reconstruction), but cannot send and receive signals at the same time. Two-way brain-computer interfaces, which allow two-way information exchange between the brain and external devices, are being integrated with prosthetics to develop electromechanical prosthetics for people with disabilities [3].…”

Section: How Brain-computer Interfaces Workmentioning

confidence: 99%

Application of brain-computer interface in rehabilitation medicine

Zheng

2023

TNS

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A brain-computer interface (BCI) can realize the communication and control between the human brain and computers or other electrical equipment by electroencephalography. It is a novel kind of human2computer interface. BCIs will be applied in rehabilitation, control, and other fields. This paper introduces the working principle of BCIs. Some key techniques to design BCIs are discussed from these aspects: signal processing, device control methods, and signal feedback. Besides, the application of BCI in rehabilitation medicine is also discussed. Finally, some main problems and future trends are pointed out. The discussions have guiding values to the design and research of BCI.

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Section: How Brain-computer Interfaces Workmentioning

confidence: 99%

Application of brain-computer interface in rehabilitation medicine

Zheng

2023

TNS

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Application of brain-computer interface in rehabilitation medicine

Application of brain-computer interface in rehabilitation medicine

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