Evidence map›Paper›PMID 33101124›Full record

ArticleFrontiers in psychology2020

Fatigue-Related and Timescale-Dependent Changes in Individual Movement Patterns Identified Using Support Vector Machine.

Johannes Burdack, Fabian Horst, Daniel Aragonés, Alexander Eekhoff, Wolfgang Immanuel Schöllhorn

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. External Focus or Differential Learning: Is There an Additive Effect on Learning a Futsal Goal Kick?International journal of environmental research and public health · 2021
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  11. Cognitive Enhancement through Differential Rope Skipping after Math Lesson.International journal of environmental research and public health · 2022
    Article
  12. Learning Multiple Movements in Parallel-Accurately and in Random Order, or Each with Added Noise?International journal of environmental research and public health · 2022
    Article
  13. Always Pay Attention to Which Model of Motor Learning You Are Using.International journal of environmental research and public health · 2022
    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

5 authors at 1 institution in 2 countries.

Johannes BurdackDepartment of Training and Movement Science, Institute of Sports Science, Johannes Gutenberg University Mainz, Mainz, Germany.
Fabian HorstDepartment of Training and Movement Science, Institute of Sports Science, Johannes Gutenberg University Mainz, Mainz, Germany.
Daniel AragonésDepartment of Training and Movement Science, Institute of Sports Science, Johannes Gutenberg University Mainz, Mainz, Germany.
Alexander EekhoffDepartment of Training and Movement Science, Institute of Sports Science, Johannes Gutenberg University Mainz, Mainz, Germany.
Wolfgang Immanuel SchöllhornDepartment of Training and Movement Science, Institute of Sports Science, Johannes Gutenberg University Mainz, Mainz, Germany.
Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scientific and practical fields-especially high-performance sports-increasingly request a stronger focus be placed on individual athletes in human movement science research. Machine learning methods have shown efficacy in this context by identifying the unique movement patterns of individuals and distinguishing their intra-individual changes over time. The objective of this investigation is to analyze biomechanically described movement patterns during the fatigue-related accumulation process within a single training session of a high number of repeated executions of a ballistic sports movement-specifically, the frontal foot kick (

Indexed as

fatigueindividualitykinematic datamachine learningmovement classificationoptimal movementsituatednesssupport vector machine

Identifiers

PMID33101124
PMCPMC7554555
OpenAlexW3089584610

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.