Review of Closed-Loop Brain–Machine Interface Systems From a Control Perspective-Reference-Cited by-同舟云学术

Review of Closed-Loop Brain–Machine Interface Systems From a Control Perspective

Published:2022-10 Issue:5 Volume:52 Page:877-893
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Pan Hongguang¹,Song Haoqian¹^ORCID,Zhang Qi²^ORCID,Mi Wenyu³^ORCID

Affiliation:

1. College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, China

2. AVIC Xi’an Aviation Brake Technology Company, Ltd., Xi’an, China

3. College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China

Funder

National Natural Science Foundation of China

Shaanxi Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/9893152/09677062.pdf?arnumber=9677062

Reference157 articles.

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3. The Performance Comparison of Two Kinds of Decoders in Brain-Machine Interface

4. Deep Learning Movement Intent Decoders Trained With Dataset Aggregation for Prosthetic Limb Control

5. A closed-loop brain–machine interface framework design for motor rehabilitation

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