An Asynchronous SSVEP-BCI for Intelligent Rehabilitation Exoskeleton Based on Alpha Rhythm-Detected CCA-Reference-Cited by-同舟云学术

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An Asynchronous SSVEP-BCI for Intelligent Rehabilitation Exoskeleton Based on Alpha Rhythm-Detected CCA

Published:2023-07-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)
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Author:

Sun Jintao¹,Wen Shiguang²,Wen Yongzhao¹,Liu Jing³,Wu Qi³,Han Lu³,Wang Fei²

Affiliation:

1. College of Information Science and Engineering, Northeastern University,Shenyang,Liaoning,China,110167

2. Northeastern University,Faculty of Robot Science and Engineering,Shenyang,Liaoning,China,110167

3. LiaoNing Disabled Persons' Service Center,Shenyang,Liaoning,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10256259/10256261/10256645.pdf?arnumber=10256645

Reference17 articles.

1. Fast algorithms for discrete and continuous wavelet transforms

2. EEG-based system for rapid on-off switching without prior learning

3. Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface

4. Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs

5. Functional significance of the mu rhythm of human cortex: an electrophysiologic study with subdural electrodes

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