Evidence map›Paper›PMID 42631729›Full record

ArticleBiological cybernetics2026

Muscle-level evaluation of the minimum muscle-stress-change model in human three-joint reaching using anatomically expanded arm models.

Masazumi Katayama

Abstract read
In one paragraph

Article in Biological cybernetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Masazumi KatayamaDepartment of Human and Artificial Intelligent Systems, Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui-shi, Fukui, 910-8507, Japan. kata@u-fukui.ac.jp.

Funding

Japan Society for the Promotion of Science JP19K12729
6 · The paper itself

Abstract

This study examined whether muscle-level optimization can account for both arm movements and muscle recruitment in planar three-joint reaching. To extend previous movement-level analyses based on simplified musculoskeletal representations, anatomically detailed three-joint arm models comprising 19-26 muscles with nonlinear, joint-angle-dependent moment arms were used. This extension enabled direct evaluation of whether muscle-level computational models can resolve highly redundant muscle-tension distributions. The reaching task was designed with eight directions at

Indexed as

ArmJointsModels, AnatomicModels, BiologicalMuscle, SkeletalBiomechanical PhenomenaComputer SimulationHumansMovementArm postureComputational modelMuscle recruitmentMuscle stressMuscle tensionReaching

Identifiers

PMID42631729
PMCPMC13499790

What OpenQuestion holds

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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.