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Classification of mild Parkinson’s disease: data augmentation of time-series gait data obtained via inertial measurement units
Data-augmentation methods have emerged as a viable approach for improving the state-of-the-art performances for classifying mild Parkinson’s disease using deep learning with time-series data from an inertial measurement unit, considering the limited amount of training datasets available in the medic...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400620/ https://www.ncbi.nlm.nih.gov/pubmed/37537260 http://dx.doi.org/10.1038/s41598-023-39862-4 |