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Robust real-time heart rate prediction for multiple subjects from facial video using compressive tracking and support vector machine
Remote monitoring of vital physiological signs allows for unobtrusive, nonrestrictive, and noncontact assessment of an individual’s health. We demonstrate a simple but robust image photoplethysmography-based heart rate (HR) estimation method for multiple subjects. In contrast to previous studies, a...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6025486/ https://ncbi.nlm.nih.gov/pubmed/30137871 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.2.024503 |
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