Parkinson’s Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer
This paper proposes two new data augmentation approaches based on Deep Convolutional Generative Adversarial Networks (DCGANs) and Style Transfer for augmenting Parkinson’s Disease (PD) electromyography (EMG) signals. The experimental results indicate that the proposed models can adapt to different f...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI AG
2020-05-01
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| Edice: | Sensors |
| Témata: | |
| On-line přístup: | https://www.mdpi.com/1424-8220/20/9/2605 |
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