Evidence map›Paper›PMID 36310493›Full record

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

[Research advances in non-invasive brain-computer interface control strategies].

Hongtao Cao, Tzyy-Ping Jung, Yuanfang Chen, Jie Mei, Ang Li, Minpeng Xu, Dong Ming

Abstract readEnglish Abstract
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. [Brain-controlled unmanned aerial vehicle system based on meta brain computer interface open-source software platform].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Article
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  3. 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.

Hongtao CaoInstitute of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
Tzyy-Ping JungInstitute of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
Yuanfang ChenBeijing Institute of Machinery and Equipment, Beijing 100854, P. R. China.
Jie MeiSchool of Precision Instruments and Optoelectronic Engineering, Tianjin University Tianjin 300072, P. R. China.
Ang LiSchool of Precision Instruments and Optoelectronic Engineering, Tianjin University Tianjin 300072, P. R. China.
Minpeng XuInstitute of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
Dong MingInstitute of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain-computer interface (BCI) can establish a direct communications pathway between the human brain and the external devices, which is independent of peripheral nerves and muscles. Compared with invasive BCI, non-invasive BCI has the advantages of low cost, low risk, and ease of operation. In recent years, using non-invasive BCI technology to control devices has gradually evolved into a new type of human-computer interaction manner. Moreover, the control strategy for BCI is an essential component of this manner. First, this study introduced how the brain control techniques were developed and classified. Second, the basic characteristics of direct and shared control strategies were thoroughly explained. And then the benefits and drawbacks of these two strategies were compared and further analyzed. Finally, the development direction and application prospects for non-invasive brain control strategies were suggested.

Indexed as

Brain-Computer InterfacesCommunication Devices for People with DisabilitiesBrainElectroencephalographyHumansUser-Computer InterfaceBrain-computer interfaceControl strategiesHuman-computer interactionNon-invasive

Identifiers

PMID36310493
PMCPMC9927724

What OpenQuestion holds

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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.