ArticleIEEE transactions on bio-medical engineering2023
A Musculoskeletal Model of the Hand and Wrist Capable of Simulating Functional Tasks.
Article in IEEE transactions on bio-medical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 44 citations in OpenAlex.
- A framework for quantifying the mechanics of dexterous grasp.bioRxiv : the preprint server for biology · 2026Article
- A hand biomechanics dataset of kinematics, kinetics, electromyography, and imaging in healthy adults.Scientific data · 2026Article
- Benchmarking Neural Network Personalized Musculoskeletal Hand Models Against Current Personalization Standards Using Experimental Magnetic Resonance Imaging and Fine-Wire Electromyography.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- Real-time biofeedback monitoring rehabilitation of distal radius fracture.Journal of neuroengineering and rehabilitation · 2025Article
- A hand biomechanics dataset of kinematics, kinetics, electromyography, and imaging in healthy adults.bioRxiv : the preprint server for biology · 2025Article
- Individual muscle strengths in rehabilitation outcomes of distal radius fracture.Journal of neuroengineering and rehabilitation · 2025Article
- Innovative Bionics Product Life-Cycle Management Methodology Framework with Built-In Reverse Biomimetics: From Inception to Clinical Validation.Biomimetics (Basel, Switzerland) · 2025Article
- Evaluating recruitment methods for selection bias: A large, experimental study of hand biomechanics.Journal of biomechanics · 2025Article
- Optimisation and Comparison of Markerless and Marker-Based Motion Capture Methods for Hand and Finger Movement Analysis.Sensors (Basel, Switzerland) · 2025Article
- Multiple, not single, recipient muscle tendon transfers produce well-coordinated thumb-tip movement in lateral pinch grasp: a simulation study with application to restoration of improved grasp after tetraplegia.Frontiers in bioengineering and biotechnology · 2025Article
- NeuroMotion: Open-source platform with neuromechanical and deep network modules to generate surface EMG signals during voluntary movement.PLoS computational biology · 2024Article
- ArborSim: Articulated, branching, OpenSim routing for constructing models of multi-jointed appendages with complex muscle-tendon architecture.PLoS computational biology · 2024Article
- Parameter estimation of a model describing the human fingers.Healthcare technology letters · 2024Article
- Musculoskeletal model predicted paraspinal loading may quick estimate the effect of exercise on spine BMD.Frontiers in bioengineering and biotechnology · 2024Article
- An Efficient Framework for Personalizing EMG-Driven Musculoskeletal Models Based on Reinforcement Learning.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024Article
- From monkeys to humans: observation-basedEMGbrain-computer interface decoders for humans with paralysis.Journal of neural engineering · 2023Article
- Cosimulation of the index finger extensor apparatus with finite element and musculoskeletal models.Journal of biomechanics · 2023Article
- Neuromuscular control: from a biomechanist's perspective.Frontiers in sports and active living · 2023Review
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
objectiveThe 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.
methodsThe 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.
resultsThe 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.
conclusionThis 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.