Experimental Protocols to Test Aortic Soft Tissues: A Systematic Review.
Rodrigo ValenteAndré MouratoJose XavierPedro SousaTiago DominguesPaulo TavaresStéphane AvrilAntónio TomásJosé FragataPublished in: Bioengineering (Basel, Switzerland) (2024)
Experimental protocols are fundamental for quantifying the mechanical behaviour of soft tissue. These data are crucial for advancing the understanding of soft tissue mechanics, developing and calibrating constitutive models, and informing the development of more accurate and predictive computational simulations and artificial intelligence tools. This paper offers a comprehensive review of experimental tests conducted on soft aortic tissues, employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, based on the Scopus, Web of Science, IEEE, Google Scholar and PubMed databases. This study includes a detailed overview of the test method protocols, providing insights into practical methodologies, specimen preparation and full-field measurements. The review also briefly discusses the post-processing methods applied to extract material parameters from experimental data. In particular, the results are analysed and discussed providing representative domains of stress-strain curves for both uniaxial and biaxial tests on human aortic tissue.
Keyphrases
- artificial intelligence
- meta analyses
- big data
- soft tissue
- aortic valve
- systematic review
- left ventricular
- machine learning
- pulmonary artery
- gene expression
- deep learning
- endothelial cells
- electronic health record
- randomized controlled trial
- public health
- oxidative stress
- emergency department
- coronary artery
- pulmonary arterial hypertension
- pluripotent stem cells
- induced pluripotent stem cells
- monte carlo