Evidence map›Paper›PMID 38686423›Full record

ReviewSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2024

[A review on electroencephalogram based channel selection].

Xiangzhe Li, Dan Wang, Baiwen Zhang, Chaojie Fan, Jiaming Chen, Meng Xu, Yuanfang Chen

Abstract readReviewEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Review in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2024. 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

7 authors.

Xiangzhe LiFaculty of information Technology, Beijing University of Technology, Beijing 100124, P.R. China.
Dan WangFaculty of information Technology, Beijing University of Technology, Beijing 100124, P.R. China.
Baiwen ZhangInstitute of Information and Artificial Intelligence Technology, Beijing Academy of Science and Technology, Beijing 100089, P.R. China.
Chaojie FanSchool of Transportation Engineering, Central South University, Changsha 410075, P.R. China.
Jiaming ChenFaculty of information Technology, Beijing University of Technology, Beijing 100124, P.R. China.
Meng XuFaculty of information Technology, Beijing University of Technology, Beijing 100124, P.R. China.
Yuanfang ChenBeijing Institute of Mechanical Equipment, Beijing 100854, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The electroencephalogram (EEG) signal is the key signal carrier of the brain-computer interface (BCI) system. The EEG data collected by the whole-brain electrode arrangement is conducive to obtaining higher information representation. Personalized electrode layout, while ensuring the accuracy of EEG signal decoding, can also shorten the calibration time of BCI and has become an important research direction. This paper reviews the EEG signal channel selection methods in recent years, conducts a comparative analysis of the combined effects of different channel selection methods and different classification algorithms, obtains the commonly used channel combinations in motor imagery, P300 and other paradigms in BCI, and explains the application scenarios of the channel selection method in different paradigms are discussed, in order to provide stronger support for a more accurate and portable BCI system.

Indexed as

AlgorithmsBrain-Computer InterfacesElectroencephalographySignal Processing, Computer-AssistedBrainElectrodesEvent-Related Potentials, P300HumansImaginationBrain-computer interfaceChannel selectionElectroencephalogram signal decoding

Identifiers

PMID38686423
PMCPMC11058489

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.