Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks
In brain–computer interface (BCI) systems, motor imagery electroencephalography (MI-EEG) signals are commonly used to detect participant intent. Many factors, including low signal-to-noise ratios and few high-quality samples, make MI classification difficult. In order for BCI systems to function, MI...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2023-02-01
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| Серія: | Sensors |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/1424-8220/23/4/1932 |
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