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Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks
Photoplethysmography (PPG)-based continuous heart rate monitoring is essential in a number of domains, e.g., for healthcare or fitness applications. Recently, methods based on time-frequency spectra emerged to address the challenges of motion artefact compensation. However, existing approaches are h...
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| Publicado en: | Sensors (Basel) |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6679242/ https://ncbi.nlm.nih.gov/pubmed/31336894 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19143079 |
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