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A semi‐active human digital twin model for detecting severity of carotid stenoses from head vibration—A coupled computational mechanics and computer vision method

In this work, we propose a methodology to detect the severity of carotid stenosis from a video of a human face with the help of a coupled blood flow and head vibration model. This semi‐active digital twin model is an attempt to link noninvasive video of a patient face to the percentage of carotid oc...

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Detalles Bibliográficos
Autores principales: Chakshu, Neeraj Kavan, Carson, Jason, Sazonov, Igor, Nithiarasu, Perumal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593817/
https://www.ncbi.nlm.nih.gov/pubmed/30648344
http://dx.doi.org/10.1002/cnm.3180