Evidence map›Paper›PMID 35028120›Full record

ArticleJournal of healthcare engineering2022

Computer Intelligent Algorithm in the Recovery of the Elbow Joint Sports Injury Model.

Huiyu Duan, Shenglong Xun, Yichen Bao, Gong Zhang

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2022. 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
0.1field-weighted citation impact, top 67% of its field
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, 1 citations in OpenAlex.

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

4 authors at 2 institutions in 1 country.

Huiyu DuanDepartment of Physical Education, Inner Mongolia University of Technology, Hohhot 010051, China.ORCID 0000-0003-3444-7399
Shenglong XunDepartment of Physical Education, Inner Mongolia University of Technology, Hohhot 010051, China.ORCID 0000-0002-2202-9942
Yichen BaoSchool of Physical Education, Liaoning Normal University, Dalian 116029, China.ORCID 0000-0002-6836-7242
Gong ZhangInstitute of Foreign Language, Inner Mongolia University of Technology, Hohhot 010051, China.ORCID 0000-0002-0830-061X
Inner Mongolia University of Technology · CNLiaoning Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the inverse kinematics mathematics computer intelligent algorithm model is used to study the sports injuries of the elbow joint of adolescents. At the same time, we simulated the movement parameter changes during the rehabilitation training of the patient's wrist and proposed a joint angular velocity function based on cubic fitting. Research has found that when the training scene changes greatly or the target task is changed, the smoothness of the elbow joint movement will change. The research conclusions of this article provide a theoretical basis for the selection of man-machine action points and the formulation of rehabilitation training methods. This article establishes the degree-of-freedom simulation model of the operating arm, which is the number of independent position variables in the operating arm, and these position variables determine the positions of all parts in the mechanism.

Indexed as

Athletic InjuriesElbow JointAdolescentAlgorithmsArmBiomechanical PhenomenaComputersHumans

Identifiers

PMID35028120
PMCPMC8752230
OpenAlexW4205828907

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.