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Invasive Brain Machine Interface System. 2019

Yile Jin, and Junjun Chen, and Shaomin Zhang, and Weidong Chen, and Xiaoxiang Zheng
Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China.

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.

UI MeSH Term Description Entries
D002986 Clinical Trials as Topic Works about pre-planned studies of the safety, efficacy, or optimum dosage schedule (if appropriate) of one or more diagnostic, therapeutic, or prophylactic drugs, devices, or techniques selected according to predetermined criteria of eligibility and observed for predefined evidence of favorable and unfavorable effects. This concept includes clinical trials conducted both in the U.S. and in other countries. Clinical Trial as Topic
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D062207 Brain-Computer Interfaces Instrumentation consisting of hardware and software that communicates with the BRAIN. The hardware component of the interface records brain signals, while the software component analyzes the signals and converts them into a command that controls a device or sends a feedback signal to the brain. Brain Machine Interface,Brain-Computer Interface,Brain-Machine Interfaces,Brain Computer Interface,Brain Computer Interfaces,Brain Machine Interfaces,Brain-Machine Interface,Interface, Brain Machine,Interface, Brain-Computer,Interface, Brain-Machine,Interfaces, Brain Machine,Interfaces, Brain-Computer,Interfaces, Brain-Machine,Machine Interface, Brain,Machine Interfaces, Brain

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