Motor Imagery Classification for Brain Computer Interface Using Deep Convolutional Neural Networks and Mixup Augmentation
<italic>Goal:</italic> Building a DL model that can be trained on small EEG training set of a single subject presents an interesting challenge that this work is trying to address. In particular, this study is trying to avoid the need for long EEG data collection sessions, and without com...
| Autors principals: | , |
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| Format: | Article |
| Idioma: | English |
| Publicat: |
IEEE
2022-01-01
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| Col·lecció: | IEEE Open Journal of Engineering in Medicine and Biology |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/9962758/ |