Performance analysis of left/right hand movement classification from EEG signal by intelligent algorithms-Reference-Cited by-同舟云学术

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Performance analysis of left/right hand movement classification from EEG signal by intelligent algorithms

Published:2011-04 Issue: Volume: Page:
ISSN:
Container-title:2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB)
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Author:

Bhattacharyya Saugat,Khasnobish Anwesha,Konar Amit,Tibarewala D. N,Nagar Atulya K.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5937062/5952104/05952111.pdf?arnumber=5952111

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2. Online BCI systems: cross-subject motor imagery classification based on weighted time-domain feature extraction methods;Journal of Engineering Design;2024-03-19

3. A Comparative Performance Study on the Time Intervals of Hybrid Brain–Computer Interface Signals;SN Computer Science;2023-10-06

4. Beyond Within-Subject Performance: A Multi-Dataset Study of Fine-Tuning in the EEG Domain;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

5. A novel framework for classification of two-class motor imagery EEG signals using logistic regression classification algorithm;PLOS ONE;2023-09-08

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