PlethAugment: GAN-based PPG augmentation for medical diagnosis in low-resource settings
The paucity of physiological time-series data collected from low-resource clinical settings limits the capabilities of modern machine learning algorithms in achieving high performance. Such performance is further hindered by class imbalance; datasets where a diagnosis is much more common than others...
| Autores principales: | , , , , , , |
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| Formato: | Journal article |
| Lenguaje: | English |
| Publicado: |
Institute of Electrical and Electronics Engineers
2020
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