Evidence map›Paper›PMID 33467619›Full record

ArticleEntropy (Basel, Switzerland)2021

Effects of Future Information and Trajectory Complexity on Kinematic Signal and Muscle Activation during Visual-Motor Tracking.

Linchuan Deng, Jie Luo, Yueling Lyu, Rong Song

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2021. 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
–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

0 citing papers in PubMed.

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.

Linchuan DengKey Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Sun Yat-Sen University, Guangzhou 510006, China.
Jie LuoKey Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Sun Yat-Sen University, Guangzhou 510006, China.
Yueling LyuKey Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Sun Yat-Sen University, Guangzhou 510006, China.
Rong SongKey Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Sun Yat-Sen University, Guangzhou 510006, China.ORCID 0000-0003-3662-116X

Funding

Guangdong Science and Technology Planning Project 2017B020210011National Key Research and Development Program of China 2018YFC2001600
6 · The paper itself

Abstract

Visual-motor tracking movement is a common and essential behavior in daily life. However, the contribution of future information to visual-motor tracking performance is not well understood in current research. In this study, the visual-motor tracking performance with and without future-trajectories was compared. Meanwhile, three task demands were designed to investigate their impact. Eighteen healthy young participants were recruited and instructed to track a target on a screen by stretching/flexing their elbow joint. The kinematic signals (elbow joint angle) and surface electromyographic (EMG) signals of biceps and triceps were recorded. The normalized integrated jerk (NIJ) and fuzzy approximate entropy (fApEn) of the joint trajectories, as well as the multiscale fuzzy approximate entropy (MSfApEn) values of the EMG signals, were calculated. Accordingly, the NIJ values with the future-trajectory were significantly lower than those without future-trajectory (

Indexed as

EMGfuture informationMSfApEnsensorimotor controlvisual-motor tracking

Identifiers

PMID33467619
PMCPMC7830702

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.