Evidence map›Paper›PMID 36051646›Full record

ArticleFrontiers in neuroscience2022

An asynchronous artifact-enhanced electroencephalogram based control paradigm assisted by slight facial expression.

Zhufeng Lu, Xiaodong Zhang, Hanzhe Li, Teng Zhang, Linxia Gu, Qing Tao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2022. 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
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

6 authors at 3 institutions in 2 countries.

Zhufeng LuSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Xiaodong ZhangSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Hanzhe LiSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Teng ZhangSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Linxia GuDepartment of Biomedical and Chemical Engineering and Sciences, College of Engineering and Science, Florida Institute of Technology, Melbourne, FL, United States.
Qing TaoSchool of Mechanical Engineering, Xinjiang University, Wulumuqi, China.
Xi'an Jiaotong University · CNFlorida Institute of Technology · USXinjiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, an asynchronous artifact-enhanced electroencephalogram (EEG)-based control paradigm assisted by slight-facial expressions (sFE-paradigm) was developed. The brain connectivity analysis was conducted to reveal the dynamic directional interactions among brain regions under sFE-paradigm. The component analysis was applied to estimate the dominant components of sFE-EEG and guide the signal processing. Enhanced by the artifact within the detected electroencephalogram (EEG), the sFE-paradigm focused on the mainstream defect as the insufficiency of real-time capability, asynchronous logic, and robustness. The core algorithm contained four steps, including "

Indexed as

artifactsasynchronousEEGEEG-based controlfacial-expression

Identifiers

PMID36051646
PMCPMC9424911
OpenAlexW4291926266

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.