Evidence map›Paper›PMID 36722069›Full record

ReviewJournal of the Royal Society, Interface2023

Numerical instability of Hill-type muscle models.

Sang-Hoon Yeo, Jasper Verheul, Walter Herzog, Shinjiro Sueda

Abstract readReview
In one paragraph

Review in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  7. In defense of Huxley.Biophysical journal · 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

4 authors.

Sang-Hoon YeoSchool of Sport, Exercise & Rehabilitation Sciences, University of Birmingham, Birmingham, UK.ORCID 0000-0002-7140-7954
Jasper VerheulSchool of Sport, Exercise & Rehabilitation Sciences, University of Birmingham, Birmingham, UK.ORCID 0000-0002-2939-8046
Walter HerzogHuman Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada.
Shinjiro SuedaDepartment of Computer Science and Engineering, Texas A&M University, College Station, TX, USA.

Funding

Biotechnology and Biological Sciences Research Council BB/S003762/1
6 · The paper itself

Abstract

Hill-type muscle models are highly preferred as phenomenological models for musculoskeletal simulation studies despite their introduction almost a century ago. The use of simple Hill-type models in simulations, instead of more recent cross-bridge models, is well justified since computationally 'light-weight'-although less accurate-Hill-type models have great value for large-scale simulations. However, this article aims to invite discussion on numerical instability issues of Hill-type muscle models in simulation studies, which can lead to computational failures and, therefore, cannot be simply dismissed as an inevitable but acceptable consequence of simplification. We will first revisit the basic premises and assumptions on the force-length and force-velocity relationships that Hill-type models are based upon, and their often overlooked but major theoretical limitations. We will then use several simple conceptual simulation studies to discuss how these numerical instability issues can manifest as practical computational problems. Lastly, we will review how such numerical instability issues are dealt with, mostly in an ad hoc fashion, in two main areas of application: musculoskeletal biomechanics and computer animation.

Indexed as

MusclesBiomechanical PhenomenaComputer Simulationbiomechanical modelscomputer graphicsHill-type muscle modelmuscle mechanicsmusculoskeletal simulationnumerical instability

Identifiers

PMID36722069
PMCPMC9890125

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.