Evidence map›Paper›PMID 35231964›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2022

[A spatial-temporal hybrid feature extraction method for rapid serial visual presentation of electroencephalogram signals].

Yujie Cui, Songyun Xie, Xinzhou Xie, Xu Duan, Chuanlin Gao

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

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 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
0.4field-weighted citation impact, top 47% 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, 3 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

5 authors at 1 institution in 1 country.

Yujie CuiNPU-TUB Joint Laboratory for Neural informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, P. R. China.
Songyun XieNPU-TUB Joint Laboratory for Neural informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, P. R. China.
Xinzhou XieNPU-TUB Joint Laboratory for Neural informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, P. R. China.
Xu DuanNPU-TUB Joint Laboratory for Neural informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, P. R. China.
Chuanlin GaoNPU-TUB Joint Laboratory for Neural informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, P. R. China.
Northwestern Polytechnical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid serial visual presentation-brain computer interface (RSVP-BCI) is the most popular technology in the early discover task based on human brain. This algorithm can obtain the rapid perception of the environment by human brain. Decoding brain state based on single-trial of multichannel electroencephalogram (EEG) recording remains a challenge due to the low signal-to-noise ratio (SNR) and nonstationary. To solve the problem of low classification accuracy of single-trial in RSVP-BCI, this paper presents a new feature extraction algorithm which uses principal component analysis (PCA) and common spatial pattern (CSP) algorithm separately in spatial domain and time domain, creating a spatial-temporal hybrid CSP-PCA (STHCP) algorithm. By maximizing the discrimination distance between target and non-target, the feature dimensionality was reduced effectively. The area under the curve (AUC) of STHCP algorithm is higher than that of the three benchmark algorithms (SWFP, CSP and PCA) by 17.9%, 22.2% and 29.2%, respectively. STHCP algorithm provides a new method for target detection.

Indexed as

Brain-Computer InterfacesElectroencephalographyAlgorithmsBrainHumansPrincipal Component AnalysisSignal Processing, Computer-AssistedBrain-computer interfaceEvent related potentialRapid serial visual presentationSpatial-temporal hybridTarget detection

Identifiers

PMID35231964
PMCPMC9927754
OpenAlexW4214812564

What OpenQuestion holds

Textmetadata
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.