Estimation of Cardiovascular Risk Predictors from Non-Invasively Measured Diametric Pulse Volume Waveforms via Multiple Measurement Information Fusion

This paper presents a novel multiple measurement information fusion approach to the estimation of cardiovascular risk predictors from non-invasive pulse volume waveforms measured at the body’s diametric (arm and ankle) locations. Leveraging the fact that diametric pulse volume waveforms originate fr...

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Detalles Bibliográficos
Autores principales: Ghasemi, Zahra, Lee, Jong Chan, Kim, Chang-Sei, Cheng, Hao-Min, Sung, Shih-Hsien, Chen, Chen-Huan, Mukkamala, Ramakrishna, Hahn, Jin-Oh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6041350/
https://www.ncbi.nlm.nih.gov/pubmed/29992978
http://dx.doi.org/10.1038/s41598-018-28604-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6041350/
https://www.ncbi.nlm.nih.gov/pubmed/29992978
http://dx.doi.org/10.1038/s41598-018-28604-6

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