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Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment
Photoplethysmography (PPG) is a noninvasive way to monitor various aspects of the circulatory system, and is becoming more and more widespread in biomedical processing. Recently, deep learning methods for analyzing PPG have also become prevalent, achieving state of the art results on heart rate esti...
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| Publicado en: | IEEE Access |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2021
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7978398/ https://ncbi.nlm.nih.gov/pubmed/33747683 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/access.2021.3054613 |
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