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Invasive Brain Machine Interface System.
Jin, Yile; Chen, Junjun; Zhang, Shaomin; Chen, Weidong; Zheng, Xiaoxiang.
Afiliación
  • Jin Y; Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China.
  • Chen J; Department of Biomedical Engineering, Zhejiang University, Hangzhou, China.
  • Zhang S; Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China.
  • Chen W; Department of Biomedical Engineering, Zhejiang University, Hangzhou, China.
  • Zheng X; Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China. shaomin@zju.edu.cn.
Adv Exp Med Biol ; 1101: 67-89, 2019.
Article en En | MEDLINE | ID: mdl-31729672
ABSTRACT
Because of high spatial-temporal resolution of neural signals obtained by invasive recording, the invasive brain-machine interfaces (BMI) have achieved great progress in the past two decades. With success in animal research, BMI technology is transferring to clinical trials for helping paralyzed people to restore their lost motor functions. This chapter gives a brief review of BMI development from animal experiments to human clinical studies in the following aspects (1) BMIs based on rodent animals; (2) BMI based on non-human primates; and (3) pilot BMIs studies in clinical trials. In the end, the chapter concludes with a summary of potential opportunities and future challenges in BMI technology.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interfaces Cerebro-Computador Límite: Animals / Humans Idioma: En Revista: Adv Exp Med Biol Año: 2019 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interfaces Cerebro-Computador Límite: Animals / Humans Idioma: En Revista: Adv Exp Med Biol Año: 2019 Tipo del documento: Article País de afiliación: China