Classification of EEG signals for brain-computer interface applications: Performance comparison-Reference-Cited by-同舟云学术

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Classification of EEG signals for brain-computer interface applications: Performance comparison

Published:2016-11 Issue: Volume: Page:
ISSN:
Container-title:2016 International Conference on Robotics, Automation and Sciences (ICORAS)
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Author:

Ilyas M. Z.,Saad P.,Ahmad M. I.,Ghani A. R. I.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7864798/7872594/07872610.pdf?arnumber=7872610

Cited by 15 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. Novel stability approach using Routh-Hurwitz criterion for brain computer interface applications;Technology and Health Care;2024-05-31

2. Comparative Analysis of Methods for Classifying Electroencephalography Signals for a Robotic Brain-Computer Interface;Studies in Systems, Decision and Control;2024

3. Fog Computing for Control of Cyber-Physical Systems in Industry Using BCI;Sensors;2023-12-27

4. Classification of Motor Imagery EEG Using Functional Connectivity;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14

5. Wearable Brain Computer Interfaces (BCI) in Fog Computing using Wireless Technology;2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS);2023-05-17

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