Evidence map›Paper›PMID 38151948›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2023

[Research progress of brain-computer interface application paradigms based on rapid serial visual presentation].

Jingmin Sun, Jiayuan Meng, Jia You, Mingming Yang, Jing Jiang, Minpeng Xu, Dong Ming

Open access · greenAbstract readEnglish Abstract
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, 2023. 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, 1 citations in OpenAlex.

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

7 authors at 3 institutions in 1 country.

Jingmin SunSchool of Precision Instruments and Opto-Electronic Engineering, Tianjin University, Tianjin 300072, P. R. China.
Jiayuan MengSchool of Precision Instruments and Opto-Electronic Engineering, Tianjin University, Tianjin 300072, P. R. China.
Jia YouSchool of Precision Instruments and Opto-Electronic Engineering, Tianjin University, Tianjin 300072, P. R. China.
Mingming YangAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
Jing JiangNational Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing 100094, P. R. China.
Minpeng XuSchool of Precision Instruments and Opto-Electronic Engineering, Tianjin University, Tianjin 300072, P. R. China.
Dong MingSchool of Precision Instruments and Opto-Electronic Engineering, Tianjin University, Tianjin 300072, P. R. China.
Tianjin Medical University · CNChina Astronaut Research and Training Center · CNTianjin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid serial visual presentation (RSVP) is a type of psychological visual stimulation experimental paradigm that requires participants to identify target stimuli presented continuously in a stream of stimuli composed of numbers, letters, words, images, and so on at the same spatial location, allowing them to discern a large amount of information in a short period of time. The RSVP-based brain-computer interface (BCI) can not only be widely used in scenarios such as assistive interaction and information reading, but also has the advantages of stability and high efficiency, which has become one of the common techniques for human-machine intelligence fusion. In recent years, brain-controlled spellers, image recognition and mind games are the most popular fields of RSVP-BCI research. Therefore, aiming to provide reference and new ideas for RSVP-BCI related research, this paper reviewed the paradigm design and system performance optimization of RSVP-BCI in these three fields. It also looks ahead to its potential applications in cutting-edge fields such as entertainment, clinical medicine, and special military operations.

Indexed as

Brain-Computer InterfacesArtificial IntelligenceBrainElectroencephalographyHumansPhotic StimulationBrain-computer interfaceElectroencephalographyParadigm designRapid serial visual presentation

Identifiers

PMID38151948
PMCPMC10753308
OpenAlexW4390348255

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.