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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Detalles Bibliográficos
Autores principales: Anicet Zanini, Rafael, Luna Colombini, Esther
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248755/
https://www.ncbi.nlm.nih.gov/pubmed/32375217
http://dx.doi.org/10.3390/s20092605

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