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. To overcome these two issues at low-cost while preserving privacy, data augmentation methods can be employed. In the time domain, the traditional method of time-warping could alter the underlying...Expand abstract
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- Peer reviewed
- Copyright holder:
- Kiyasseh, D et al.
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- © The Authors. This work is licensed under a Creative Commons Attribution 4.0 License.
- CC Attribution (CC BY)
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