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Analysis of CNN-based remote-PPG to understand limitations and sensitivities
Deep learning based on convolutional neural network (CNN) has shown promising results in various vision-based applications, recently also in camera-based vital signs monitoring. The CNN-based photoplethysmography (PPG) extraction has, so far, been focused on performance rather than understanding. In...
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| Wydane w: | Biomed Opt Express |
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| Główni autorzy: | , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Optical Society of America
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7075624/ https://ncbi.nlm.nih.gov/pubmed/32206408 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.382637 |
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