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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248755/ https://www.ncbi.nlm.nih.gov/pubmed/32375217 http://dx.doi.org/10.3390/s20092605 |