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[A review of functional electrical stimulation based on brain-computer interface].
Wang, Yao; Li, Yuhan; Cui, Hongyan; Li, Meng; Chen, Xiaogang.
Afiliação
  • Wang Y; School of Life Sciences, Tianjin Polytechnic University, Tianjin 300387, P. R. China.
  • Li Y; School of Life Sciences, Tianjin Polytechnic University, Tianjin 300387, P. R. China.
  • Cui H; Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, P. R. China.
  • Li M; Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, P. R. China.
  • Chen X; Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi ; 41(4): 650-655, 2024 Aug 25.
Article em Zh | MEDLINE | ID: mdl-39218589
ABSTRACT
Individuals with motor dysfunction caused by damage to the central nervous system are unable to transmit voluntary movement commands to their muscles, resulting in a reduced ability to control their limbs. However, traditional rehabilitation methods have problems such as long treatment cycles and high labor costs. Functional electrical stimulation (FES) based on brain-computer interface (BCI) connects the patient's intentions with muscle contraction, and helps to promote the reconstruction of nerve function by recognizing nerve signals and stimulating the moving muscle group with electrical impulses to produce muscle convulsions or limb movements. It is an effective treatment for sequelae of neurological diseases such as stroke and spinal cord injury. This article reviewed the current research status of BCI-based FES from three aspects BCI paradigms, FES parameters and rehabilitation efficacy, and looked forward to the future development trend of this technology, in order to improve the understanding of BCI-based FES.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interfaces Cérebro-Computador Limite: Humans Idioma: Zh Revista: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2024 Tipo de documento: Article País de publicação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interfaces Cérebro-Computador Limite: Humans Idioma: Zh Revista: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2024 Tipo de documento: Article País de publicação: China