Evidence map›Paper›PMID 41448755›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2025

[Brain-controlled unmanned aerial vehicle system based on meta brain computer interface open-source software platform].

Ang Li, Jie Mei, Weize Chen, Lingling Tao, 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, 2025. 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. [Research on electrooculography artifact removal from electroencephalography signals based on frequency slice wavelet transform].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    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

6 authors.

Ang LiAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
Jie MeiAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
Weize ChenAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
Lingling TaoAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain computer interface (BCI) system includes multiple links such as stimulus presentation, data acquisition, signal processing, external device control and command feedback. As an open-source software platform which covers all links of BCI chain, meta brain computer interface (MetaBCI) has provided flexible solutions for effectively encoding, decoding and feeding back brain activities, but has not yet provided an integrated tool that can support the implementation of a complete BCI system. In view of the above shortcoming, this paper designed and constructed a brain-controlled unmanned aerial vehicle system by using MetaBCI, which realized the online control of the physical unmanned aerial vehicle. The results of the experiment involving 10 subjects indicated that the average online classification accuracy and information transfer rate (ITR) of this system could reach 93.83% and 38.57 bits/min, respectively, which verified the feasibility of constructing a practical BCI system for external device control by using MetaBCI. Meanwhile, this paper elaborated the design idea, implementation process and the usage logic of MetaBCI toolkit involved in this brain-controlled unmanned aerial vehicle system in detail, hoping to provide guidance for subsequent developers to design and construct BCI systems that can meet individual needs by using MetaBCI independently.

Indexed as

BrainBrain-Computer InterfacesSoftwareUnmanned Aerial DevicesElectroencephalographyHumansSignal Processing, Computer-AssistedBrain computer interfaceBrain-controlled unmanned aerial vehicleMeta brain computer interface open-source software platform

Identifiers

PMID41448755
PMCPMC12744987

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.