PPG-GAN: an adversarial network to de-noise PPG signals during physical activity
Quality photoplethysmographic (PPG) signals are essential for accurate physiological assessment. However, the PPG acquisition process is often accompanied by spurious motion artefacts (MAs), especially during medium-high intensity physical activity. This study proposes a generative adversarial netwo...
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| Main Authors: | , , , , |
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| Format: | Default Conference proceeding |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/22101923.v1 |
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