Feature Selection Using EEG Signals: A Novel Hybrid Binary Particle Swarm Optimization-Reference-Cited by-同舟云学术

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Feature Selection Using EEG Signals: A Novel Hybrid Binary Particle Swarm Optimization

Published:2022-11-15 Issue: Volume: Page:
ISSN:
Container-title:2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM)
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Author:

Nemati Mohammad¹,Taheri Alireza¹,Ghazizadeh Ali²,Dehkordi Milad Banitalebi³,Meghdari Ali¹

Affiliation:

1. Sharif University of Technology,Mechanical Engineering Dept,Tehran,Iran

2. Sharif University of Technology School of Cognitive Sciences Institute for Research in Fundamental Sciences (IPM),Electrical Engineering Dept,Tehran,Iran

3. Sharif University of Technology,Chemical Engineering Dept,Tehran,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10025024/10025031/10025190.pdf?arnumber=10025190

Reference29 articles.

1. Safe and reliable intelligent wheelchair robot with human robot interaction

2. A robotic system for musculoskeletal rehabilitation of the shoulder biomedical engineering;antunes;MS Thesis,2016

3. Summary of over Fifty Years with Brain-Computer Interfaces—A Review

4. Progress in EEG-Based Brain Robot Interaction Systems

5. Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lower limb rehabilitation exoskeleton using brain–computer interface based on multiband filtering with classifier fusion;Asian Journal of Control;2023-11-21

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