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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
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Igor Sazonov ,
Perumal Nithiarasu
International Journal for Numerical Methods in Biomedical Engineering, Volume: 35, Issue: 5, Start page: e3180
Swansea University Authors:
Neeraj Kavan Chakshu, Jason Carson , Igor Sazonov , Perumal Nithiarasu
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DOI (Published version): 10.1002/cnm.3180
Abstract
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 non‐invasive video of a patient face to the percentage of carotid oc...
| Published in: | International Journal for Numerical Methods in Biomedical Engineering |
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| ISSN: | 2040-7939 2040-7947 |
| Published: |
Wiley
2019
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa48157 |
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