Variational system identification infers material parameters for neo-Hookean, modified HGO, and reduced polynomial models from full-volume tendon strain data, with the modified HGO and three-term polynomial capturing key intact and injured behaviors better than neo-Hookean.
New approaches to diagnosis and arthroscopic man- agement of partial-thickness cuff tears
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.bio-ph 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Constitutive parameter inference using physics-based data-driven modeling in full volume datasets of intact and torn rotator cuff tendons
Variational system identification infers material parameters for neo-Hookean, modified HGO, and reduced polynomial models from full-volume tendon strain data, with the modified HGO and three-term polynomial capturing key intact and injured behaviors better than neo-Hookean.