Evidence map›Paper›PMID 38937584›Full record

ArticleScientific reports2024

The effect of including a mobile arch, toe joint, and joint coupling on predictive neuromuscular simulations of human walking.

Alexandra Buchmann, Simon Wenzler, Lauren Welte, Daniel Renjewski

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Alexandra BuchmannChair of Applied Mechanics, Technical University of Munich, 85748, Garching, Germany. alexandra.buchmann@tum.de.
Simon WenzlerChair of Applied Mechanics, Technical University of Munich, 85748, Garching, Germany.
Lauren WelteDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, T6G 2R3, Canada.
Daniel RenjewskiChair of Applied Mechanics, Technical University of Munich, 85748, Garching, Germany.

Funding

Deutsche Forschungsgemeinschaft 449427815Natural Sciences and Engineering Research Council of Canada NSERC PDF 558140-2021
6 · The paper itself

Abstract

Predictive neuromuscular simulations are a powerful tool for studying the biomechanics of human walking, and deriving design criteria for technical devices like prostheses or biorobots. Good agreement between simulation and human data is essential for transferability to the real world. The human foot is often modeled with a single rigid element, but knowledge of how the foot model affects gait prediction is limited. Standardized procedures for selecting appropriate foot models are lacking. We performed 2D predictive neuromuscular simulations with six different foot models of increasing complexity to answer two questions: What is the effect of a mobile arch, a toe joint, and the coupling of toe and arch motion through the plantar fascia on gait prediction? and How much of the foot's anatomy do we need to model to predict sagittal plane walking kinematics and kinetics in good agreement with human data? We found that the foot model had a significant impact on ankle kinematics during terminal stance, push-off, and toe and arch kinematics. When focusing only on hip and knee kinematics, rigid foot models are sufficient. We hope our findings will help guide the community in modeling the human foot according to specific research goals and improve neuromuscular simulation accuracy.

Indexed as

GaitWalkingAnkle JointBiomechanical PhenomenaComputer SimulationFootHumansKnee JointModels, BiologicalToe JointToes

Identifiers

PMID38937584
PMCPMC11211509

What OpenQuestion holds

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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.