Evidence map›Paper›PMID 34976324›Full record

ArticleJournal of healthcare engineering2021

Motor Imagination of Lower Limb Movements at Different Frequencies.

Yingtao Liu, Chao Chen, Abdelkader Nasreddine Belkacem, Zhiyong Wang, Longlong Cheng, Chun Wang, Yuexiao Chang, Penghai Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Yingtao LiuSchool of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
Chao ChenKey Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin 300384, China.ORCID 0000-0001-7358-4332
Abdelkader Nasreddine BelkacemDepartment of Computer and Network Engineering, College of Information Technology, UAE University, Al Ain 15551, UAE.ORCID 0000-0002-3024-4167
Zhiyong WangSchool of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
Longlong ChengChina Electronics Cloud Brain (Tianjin) Technology Co. Ltd., Tianjin 300309, China.
Chun WangCollege of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Yuexiao ChangSchool of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
Penghai LiSchool of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.ORCID 0000-0001-9928-9526

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor imagination (MI) is the mental process of only imagining an action without an actual movement. Research on MI has made significant progress in feature information detection and machine learning decoding algorithms, but there are still problems, such as a low overall recognition rate and large differences in individual execution effects, which make the development of MI run into a bottleneck. Aiming at solving this bottleneck problem, the current study optimized the quality of the MI original signal by "enhancing the difficulty of imagination tasks," conducted the qualitative and quantitative analyses of EEG rhythm characteristics, and used quantitative indicators, such as ERD mean value and recognition rate. Research on the comparative analysis of the lower limb MI of different tasks, namely, high-frequency motor imagination (HFMI) and low-frequency motor imagination (LFMI), was conducted. The results validate the following: the average ERD of HFMI (-1.827) is less than that of LFMI (-1.3487) in the alpha band, so did (-3.4756 < -2.2891) in the beta band. In the alpha and beta characteristic frequency bands, the average ERD of HFMI is smaller than that of LFMI, and the ERD values of the two are significantly different (

Indexed as

Brain-Computer InterfacesElectroencephalographyHumansImaginationLower ExtremityMovement

Identifiers

PMID34976324
PMCPMC8716247

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.