Evidence map›Paper›PMID 30367391›Full record

SynthesisMedical & biological engineering & computing2019

A survey of human shoulder functional kinematic representations.

Rakesh Krishnan, Niclas Björsell, Elena M Gutierrez-Farewik, Christian Smith

Abstract readSystematic Review
In one paragraph

Synthesis in Medical & biological engineering & computing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
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  5. Review
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  8. Article
  9. [Mirror-type rehabilitation training with dynamic adjustment and assistance for shoulder joint].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
    Article
  10. Article
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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.

Rakesh KrishnanDepartment of Electronics, Mathematics and Natural Sciences, University of Gävle, Gävle, Sweden. rkth@kth.se.
Niclas BjörsellDepartment of Electronics, Mathematics and Natural Sciences, University of Gävle, Gävle, Sweden.
Elena M Gutierrez-FarewikKTH Engineering Sciences, Mechanics, Royal Institute of Technology (KTH), Stockholm, Sweden.
Christian SmithRobotics, Perception and Learning (RPL), School of Computer Science and Communication, Royal Institute of Technology (KTH), Stockholm, Sweden.

Funding

VINNOVA AAL 2013-6-042
6 · The paper itself

Abstract

In this survey, we review the field of human shoulder functional kinematic representations. The central question of this review is to evaluate whether the current approaches in shoulder kinematics can meet the high-reliability computational challenge. This challenge is posed by applications such as robot-assisted rehabilitation. Currently, the role of kinematic representations in such applications has been mostly overlooked. Therefore, we have systematically searched and summarised the existing literature on shoulder kinematics. The shoulder is an important functional joint, and its large range of motion (ROM) poses several mathematical and practical challenges. Frequently, in kinematic analysis, the role of the shoulder articulation is approximated to a ball-and-socket joint. Following the high-reliability computational challenge, our review challenges this inappropriate use of reductionism. Therefore, we propose that this challenge could be met by kinematic representations, that are redundant, that use an active interpretation and that emphasise on functional understanding.

Indexed as

AnimalsHumansMovementRange of Motion, ArticularReproducibility of ResultsShoulderShoulder JointSurveys and QuestionnairesHuman movement understandingHuman-robot interactionKinematicsRobot-assisted rehabilitationShoulder

Identifiers

PMID30367391
PMCPMC6347660

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.