Evidence map›Paper›PMID 35788530›Full record

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

[Key technology of brain-computer interaction based on speech imagery].

Yanpeng Liu, Anmin Gong, Peng Ding, Lei Zhao, Qian Qian, Jianhua Zhou, Lei Su, Yunfa Fu

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 59% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. [Study on speech imagery electroencephalography decoding of Chinese words based on the CAM-Net model].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Article
  2. 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

8 authors at 1 institution in 1 country.

Yanpeng LiuSchool of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.
Anmin GongCollege of Information Engineering, Engineering University of PAP, Xi'an 710000, P. R. China.
Peng DingSchool of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.
Lei ZhaoFaculty of Science, Kunming University of Science and Technology, Kunming 650500, P. R. China.
Qian QianSchool of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.
Jianhua ZhouSchool of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.
Lei SuSchool of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.
Yunfa FuSchool of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.
Kunming University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Speech expression is an important high-level cognitive behavior of human beings. The realization of this behavior is closely related to human brain activity. Both true speech expression and speech imagination can activate part of the same brain area. Therefore, speech imagery becomes a new paradigm of brain-computer interaction. Brain-computer interface (BCI) based on speech imagery has the advantages of spontaneous generation, no training, and friendliness to subjects, so it has attracted the attention of many scholars. However, this interactive technology is not mature in the design of experimental paradigms and the choice of imagination materials, and there are many issues that need to be discussed urgently. Therefore, in response to these problems, this article first expounds the neural mechanism of speech imagery. Then, by reviewing the previous BCI research of speech imagery, the mainstream methods and core technologies of experimental paradigm, imagination materials, data processing and so on are systematically analyzed. Finally, the key problems and main challenges that restrict the development of this type of BCI are discussed. And the future development and application perspective of the speech imaginary BCI system are prospected.

Indexed as

Imagery, PsychotherapySpeechBrainComputersHumansTechnologyBrain-computer interactionClassificationDecodingExperimental paradigmSpeech imagery

Identifiers

PMID35788530
PMCPMC10950764
OpenAlexW4283836180

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.