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Motor Imagery EEG Classification Using Capsule Networks†
Various convolutional neural network (CNN)-based approaches have been recently proposed to improve the performance of motor imagery based-brain-computer interfaces (BCIs). However, the classification accuracy of CNNs is compromised when target data are distorted. Specifically for motor imagery elect...
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| Vydáno v: | Sensors (Basel) |
|---|---|
| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6651225/ https://ncbi.nlm.nih.gov/pubmed/31252557 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19132854 |
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