Evidence map›Paper›PMID 36229699›Full record

ArticleBiomechanics and modeling in mechanobiology2022

Multi-level personalization of neuromusculoskeletal models to estimate physiologically plausible knee joint contact forces in children.

Giorgio Davico, David G Lloyd, Christopher P Carty, Bryce A Killen, Daniel Devaprakash, Claudio Pizzolato

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
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  9. Ankle Exoskeleton Assistance Reduces Knee Contact Force During Walking in Individuals With Cerebral Palsy.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
  10. 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 · 2026
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  18. Towards a comprehensive biomechanical assessment of the elderly combiningFrontiers in bioengineering and biotechnology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Giorgio DavicoDepartment of Industrial Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy. giorgio.davico@unibo.it.ORCID http://orcid.org/0000-0002-2046-529X
David G LloydSchool of Allied Health Sciences and Social Work, Griffith University, Gold Coast, Australia.ORCID http://orcid.org/0000-0002-0824-9682
Christopher P CartyGriffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia.ORCID http://orcid.org/0000-0002-8969-5181
Bryce A KillenSchool of Allied Health Sciences and Social Work, Griffith University, Gold Coast, Australia.ORCID http://orcid.org/0000-0001-6389-2497
Daniel DevaprakashSchool of Allied Health Sciences and Social Work, Griffith University, Gold Coast, Australia.ORCID http://orcid.org/0000-0001-9935-114X
Claudio PizzolatoSchool of Allied Health Sciences and Social Work, Griffith University, Gold Coast, Australia.ORCID http://orcid.org/0000-0002-0292-2776

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuromusculoskeletal models are a powerful tool to investigate the internal biomechanics of an individual. However, commonly used neuromusculoskeletal models are generated via linear scaling of generic templates derived from elderly adult anatomies and poorly represent a child, let alone children with a neuromuscular disorder whose musculoskeletal structures and muscle activation patterns are profoundly altered. Model personalization can capture abnormalities and appropriately describe the underlying (altered) biomechanics of an individual. In this work, we explored the effect of six different levels of neuromusculoskeletal model personalization on estimates of muscle forces and knee joint contact forces to tease out the importance of model personalization for normal and abnormal musculoskeletal structures and muscle activation patterns. For six children, with and without cerebral palsy, generic scaled models were developed and progressively personalized by (1) tuning and calibrating musculotendon units' parameters, (2) implementing an electromyogram-assisted approach to synthesize muscle activations, and (3) replacing generic anatomies with image-based bony geometries, and physiologically and physically plausible muscle kinematics. Biomechanical simulations of gait were performed in the OpenSim and CEINMS software on ten overground walking trials per participant. A mixed-ANOVA test, with Bonferroni corrections, was conducted to compare all models' estimates. The model with the highest level of personalization produced the most physiologically plausible estimates. Model personalization is crucial to produce physiologically plausible estimates of internal biomechanical quantities. In particular, personalization of musculoskeletal anatomy and muscle activation patterns had the largest effect overall. Increased research efforts are needed to ease the creation of personalized neuromusculoskeletal models.

Indexed as

Knee JointMuscle, SkeletalAdultAgedBiomechanical PhenomenaChildElectromyographyGaitHumansModels, BiologicalWalkingEMGJoint contact forcesMusculoskeletal modelingPediatricsPersonalization

Identifiers

PMID36229699
PMCPMC9700656

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LicenceCC BY
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Registered trials

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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.