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A Musculoskeletal Model of the Hand and Wrist Capable of Simulating Functional Tasks
Journal article   Open access   Peer reviewed

A Musculoskeletal Model of the Hand and Wrist Capable of Simulating Functional Tasks

Daniel C. McFarland, Benjamin I. Binder-Markey, Jennifer A. Nichols, Sarah J. Wohlman, Marije de Bruin and Wendy M. Murray
IEEE transactions on biomedical engineering, v 70(5), pp 1-12
01 May 2023
DOI: https://doi.org/10.1109/TBME.2022.3217722
PMID: 36301780
url
https://doi.org/10.1101/2021.12.28.474357View
SubmittedOpen Access (License Unspecified),  Open

Abstract

Adaptation models biological model Biological system modeling computer simulation Data models Force grip strength hand opening Muscles pinch strength Thumb Wrist
Objective: The purpose of this work was to develop an open-source musculoskeletal model of the hand and wrist and to evaluate its performance during simulations of functional tasks. Methods: The current model was developed by adapting and expanding upon existing models. An optimal control theory framework that combines forward-dynamics simulations with a simulated-annealing optimization was used to simulate maximum grip and pinch force. Active and passive hand opening were simulated to evaluate coordinated kinematic hand movements. Results: The model's maximum grip force production matched experimental measures of grip force, force distribution amongst the digits, and displayed sensitivity to wrist flexion. Simulated lateral pinch strength replicated in vivo palmar pinch strength data. Additionally, predicted activations for 7 of 8 muscles fell within variability of EMG data during palmar pinch. The active and passive hand opening simulations predicted reasonable activations and demonstrated passive motion mimicking tenodesis, respectively. Conclusion: This work advances simulation capabilities of hand and wrist models and provides a foundation for future work to build upon. Significance: This is the first open-source musculoskeletal model of the hand and wrist to be implemented during both functional kinetic and kinematic tasks. We provide a novel simulation framework to predict maximal grip and pinch force which can be used to evaluate how potential surgical and rehabilitation interventions influence these functional outcomes while requiring minimal experimental data.

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33 citations in Web of Science
30 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Engineering, Biomedical
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