Journal article
PlethAugment: GAN-based PPG augmentation for medical diagnosis in low-resource settings
- Abstract:
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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...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, 2.3MB)
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- Publisher copy:
- 10.1109/JBHI.2020.2979608
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Authors
Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Journal:
- IEEE Journal of Biomedical and Health Informatics Journal website
- Volume:
- 24
- Issue:
- 11
- Article number:
- 3226-3235
- Publication date:
- 2020-04-27
- Acceptance date:
- 2020-03-03
- DOI:
- EISSN:
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2168-2208
- ISSN:
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2168-2208
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1091844
- Local pid:
- pubs:1091844
- Deposit date:
- 2020-03-09
Terms of use
- Copyright holder:
- Kiyasseh, D et al.
- Copyright date:
- 2020
- Rights statement:
- © The Authors. This work is licensed under a Creative Commons Attribution 4.0 License.
- Licence:
- CC Attribution (CC BY)
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