Paper Info
Title
Computational model to investigate the relative contributions of different neuromuscular properties of tibialis anterior on force generated during ankle dorsiflexion.
Abstract
This study describes a new model of the force generated by tibialis anterior muscle with three new features: single-fiber action potential, twitch force, and pennation angle. This model was used to investigate the relative effects and interaction of ten age-associated neuromuscular parameters. Regression analysis (significance level of 0.05) between the neuromuscular properties and corresponding simulated force produced at the footplate was performed. Standardized slope coefficients were computed to rank the effect of the parameters. The results show that reduction in the average firing rate is the reason for the sharp decline in the force and other factors, such as number of muscle fibers, specific force, pennation angle, and innervation ratio. The fast fiber ratio affects the simulated force through two significant interactions. This study has ranked the individual contributions of the neuromuscular factors to muscle strength decline of the TA and identified firing rate decline as the biggest cause followed by decrease in muscle fiber number and specific force. The strategy for strength preservation for the elderly should focus on improving firing rate. Graphical abstract Neuromuscular properties of Tibialis Anterior on force generated during ankle dorsiflexion.
Year
DOI
Venue
2018
10.1007/s11517-018-1788-1
Med. Biol. Engineering and Computing
Keywords
Field
DocType
Age,Muscle,Force,Modeling
Biomedical engineering,Computer vision,Specific force,Ankle dorsiflexion,Tibialis anterior muscle,Artificial intelligence,Muscle strength,Footplate,Mathematics
Journal
Volume
Issue
ISSN
56
8
0140-0118
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Ariba Siddiqi100.68
Sridhar Poosapadi Arjunan2275.79
Dinesh Kant Kumar316828.34