Evidence map›Paper›PMID 26734761›Full record

ArticlePloS one2016

A Biomechanical Model of the Scapulothoracic Joint to Accurately Capture Scapular Kinematics during Shoulder Movements.

Ajay Seth, Ricardo Matias, António P Veloso, Scott L Delp

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–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

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A survey of human shoulder functional kinematic representations.Medical & biological engineering & computing · 2019
    Pooled it
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  19. Neuromuscular control: from a biomechanist's perspective.Frontiers in sports and active living · 2023
    Review
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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.

Ajay SethDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.
Ricardo MatiasUniversidade de Lisboa, Faculdade de Motricidade Humana, LBMF, Lisbon, Portugal.
António P VelosoUniversidade de Lisboa, Faculdade de Motricidade Humana, LBMF, Lisbon, Portugal.
Scott L DelpDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.

Funding

Physics-based Simulation of Biological Structures(RMI)U54GM072970 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 2004 to 2013
$33.5M
Tech-DevelopmentP2CHD065690 · NICHD · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2015 to 2019
$5.4M
National Center for Simulation in Rehabilitation ResearchR24HD065690 · NICHD · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2010 to 2014
$4.2M
Biomechanically Based Shoulder Rehabilitation StrategiesK01HD042491 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI LUDEWIG, PAULA MARIE · 2003 to 2007
$550k
NICHD NIH HHS K01 HD042491NICHD NIH HHS K01HD042491NICHD NIH HHS P2C HD065690NICHD NIH HHS R24 HD065690NIGMS NIH HHS U54 GM072970
6 · The paper itself

Abstract

The complexity of shoulder mechanics combined with the movement of skin relative to the scapula makes it difficult to measure shoulder kinematics with sufficient accuracy to distinguish between symptomatic and asymptomatic individuals. Multibody skeletal models can improve motion capture accuracy by reducing the space of possible joint movements, and models are used widely to improve measurement of lower limb kinematics. In this study, we developed a rigid-body model of a scapulothoracic joint to describe the kinematics of the scapula relative to the thorax. This model describes scapular kinematics with four degrees of freedom: 1) elevation and 2) abduction of the scapula on an ellipsoidal thoracic surface, 3) upward rotation of the scapula normal to the thoracic surface, and 4) internal rotation of the scapula to lift the medial border of the scapula off the surface of the thorax. The surface dimensions and joint axes can be customized to match an individual's anthropometry. We compared the model to "gold standard" bone-pin kinematics collected during three shoulder tasks and found modeled scapular kinematics to be accurate to within 2 mm root-mean-squared error for individual bone-pin markers across all markers and movement tasks. As an additional test, we added random and systematic noise to the bone-pin marker data and found that the model reduced kinematic variability due to noise by 65% compared to Euler angles computed without the model. Our scapulothoracic joint model can be used for inverse and forward dynamics analyses and to compute joint reaction loads. The computational performance of the scapulothoracic joint model is well suited for real-time applications; it is freely available for use with OpenSim 3.2, and is customizable and usable with other OpenSim models.

Indexed as

Biomechanical PhenomenaComputer SimulationHumansModels, AnatomicModels, BiologicalMovementScapulaShoulderThoracic Wall

Identifiers

PMID26734761
PMCPMC4712143

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.