[1]
|
Cross-Subject & Cross-Dataset Subject Transfer in Motor Imagery BCI systems
2022 International Joint Conference on Neural Networks (IJCNN),
2022
DOI:10.1109/IJCNN55064.2022.9891904
|
|
|
[2]
|
Brain Network Analysis by Stable and Unstable EEG Components
IEEE Journal of Biomedical and Health Informatics,
2021
DOI:10.1109/JBHI.2020.3015471
|
|
|
[3]
|
Early classification of motor tasks using dynamic functional connectivity graphs from EEG
Journal of Neural Engineering,
2021
DOI:10.1088/1741-2552/abce70
|
|
|
[4]
|
Brain-Computer Interface of Motor Imagery Using ICA and Recurrent Neural Networks
2020 3rd International Conference on Computer and Informatics Engineering (IC2IE),
2020
DOI:10.1109/IC2IE50715.2020.9274681
|
|
|
[5]
|
A CNN-based Approach for three-class classification of motor imagery EEG data including ‘rest state’ in hybrid multi-user BCI
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),
2019
DOI:10.1109/BIBM47256.2019.8983380
|
|
|
[6]
|
An Experimental Analysis of Motor Imagery EEG Signals Using Feature Extraction and Classification Methodologies
2018 International Conference on Computing, Power and Communication Technologies (GUCON),
2018
DOI:10.1109/GUCON.2018.8675032
|
|
|
[7]
|
Support vector machines to detect physiological patterns for EEG and EMG-based human–computer interaction: a review
Journal of Neural Engineering,
2017
DOI:10.1088/1741-2552/14/1/011001
|
|
|
[8]
|
Progress in EEG-Based Brain Robot Interaction Systems
Computational Intelligence and Neuroscience,
2017
DOI:10.1155/2017/1742862
|
|
|
[9]
|
Multiclass motor imagery classification for BCI application
2016 International Workshop on Computational Intelligence (IWCI),
2016
DOI:10.1109/IWCI.2016.7860335
|
|
|
[10]
|
Determining AR order for BCI based on motor imagery
2015 8th International Conference on Biomedical Engineering and Informatics (BMEI),
2015
DOI:10.1109/BMEI.2015.7401495
|
|
|