Evidence map›Paper›PMID 31105196›Full record

ArticleBiomimetics (Basel, Switzerland)2019

Analyzing Moment Arm Profiles in a Full-Muscle Rat Hindlimb Model.

Fletcher Young, Christian Rode, Alex Hunt, Roger Quinn

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. A Whole-Body Musculoskeletal Model of the Mouse.IEEE access : practical innovations, open solutions · 2021
    Article
  6. Review
  7. Article
  8. 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.

Fletcher YoungDepartment of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, OH 44106-7222, USA. fletcher.young@case.edu.ORCID 0000-0002-0057-6603
Christian RodeDepartment of Motion Science, Friedrich-Schiller University Jena, 07737 Jena, Germany. christian.rode@uni-jena.de.
Alex HuntDepartment of Mechanical and Materials Engineering, Portland State University, Portland, OR 97207, USA. ajh26@pdx.edu.ORCID 0000-0002-3820-4821
Roger QuinnDepartment of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, OH 44106-7222, USA. rdq@case.edu.

Funding

Graduate Assistance in Areas of National Need (GAANN) Fellowship P200A150316National Science Foundation IIS160811
6 · The paper itself

Abstract

Understanding the kinematics of a hindlimb model is a fundamental aspect of modeling coordinated locomotion. This work describes the development process of a rat hindlimb model that contains a complete muscular system and incorporates physiological walking data to examine realistic muscle movements during a step cycle. Moment arm profiles for selected muscles are analyzed and presented as the first steps to calculating torque generation at hindlimb joints. A technique for calculating muscle moment arms from muscle attachment points in a three-dimensional (3D) space has been established. This model accounts for the configuration of adjacent joints, a critical aspect of biarticular moment arm analysis that must be considered when calculating joint torque. Moment arm profiles from isolated muscle motions are compared to two existing models. The dependence of biarticular muscle's moment arms on the configuration of the adjacent joint is a critical aspect of moment arm analysis that must be considered when calculating joint torque. The variability in moment arm profiles suggests changes in muscle function during a step.

Indexed as

biarticular musclesbiomechanicsmoment arm

Identifiers

PMID31105196
PMCPMC6477668

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.