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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Dades bibliogràfiques
Publicat a:J Med Imaging (Bellingham)
Autors principals: Liu, Lingling, Zhao, Yuejin, Kong, Lingqin, Liu, Ming, Dong, Liquan, Ma, Feilong, Pang, Zongguang
Format: Artigo
Idioma:Inglês
Publicat: Society of Photo-Optical Instrumentation Engineers 2018
Matèries:
Computer-Aided Diagnosis
Accés en línia: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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