Enhancing EEG and sEMG Fusion Decoding Using a Multi-Scale Parallel Convolutional Network With Attention Mechanism
Electroencephalography (EEG) and surface electromyography (sEMG) have been widely used in the rehabilitation training of motor function. However, EEG signals have poor user adaptability and low classification accuracy in practical applications, and sEMG signals are susceptible to abnormalities such...
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| Автори: | , , , , , |
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| Формат: | Книга |
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IEEE,
2024-01-01T00:00:00Z.
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A1234.567 |
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