Evidence map›Paper›PMID 36854561›Full record

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

[Advances in brain-computer interface based on high-frequency steady-state visual evoked potential].

Chenguang Zheng, Yang Liu, Xiaolin Xiao, Xiaoyu Zhou, Fangzhou Xu, 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. 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 citations in OpenAlex.

  1. [A review of noninvasive brain-computer interfaces combined with transcranial electrical stimulation for neural rehabilitation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    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

7 authors at 1 institution in 1 country.

Chenguang ZhengAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
Yang LiuAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
Xiaolin XiaoAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
Xiaoyu ZhouSchool of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, P. R. China.
Fangzhou XuSchool of Electronic and Information Engineering, Qilu University of Technology, Jinan 250353, P. R. China.
Minpeng XuAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
Dong MingAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
Tianjin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Steady-state visual evoked potential (SSVEP) has been widely used in the research of brain-computer interface (BCI) system in recent years. The advantages of SSVEP-BCI system include high classification accuracy, fast information transform rate and strong anti-interference ability. Most of the traditional researches induce SSVEP responses in low and middle frequency bands as control signals. However, SSVEP in this frequency band may cause visual fatigue and even induce epilepsy in subjects. In contrast, high-frequency SSVEP-BCI provides a more comfortable and natural interaction despite its lower amplitude and weaker response. Therefore, it has been widely concerned by researchers in recent years. This paper summarized and analyzed the related research of high-frequency SSVEP-BCI in the past ten years from the aspects of paradigm and algorithm. Finally, the application prospect and development direction of high-frequency SSVEP were discussed and prospected.

Indexed as

Brain-Computer InterfacesAlgorithmsEvoked Potentials, VisualHumansBrain-computer interfaceHigh frequencySteady-state visual evoked potential

Identifiers

PMID36854561
PMCPMC9989750
OpenAlexW4322719997

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.