Evidence map›Paper›PMID 37460730›Full record

ArticleAdvances in experimental medicine and biology2023

Brain-Computer Interfaces in Visualized Medicine.

Xiaopeng Si, Yu Zhou, Sicheng Li, Xingjian Zhang, Shunli Han, Shaoxin Xiang, Dong Ming

Abstract read
PubMed Publisher
In one paragraph

Article in Advances in experimental medicine and biology, 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.

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.

Xiaopeng SiAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China. xiaopengsi@tju.edu.cn.
Yu ZhouCollege of Medical Technology and Engineering, Henan University of Science and Technology, Henan, China.
Sicheng LiAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Xingjian ZhangAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Shunli HanAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Shaoxin XiangAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Dong MingAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The brain-computer interface (BCI), also known as a brain-machine interface (BMI), has attracted extensive attention in biomedical applications. More importantly, BCI technologies have substantially revolutionized early predictions, diagnostic techniques, and rehabilitation strategies addressing acute diseases because of BCI's innovations and clinical translations. Therefore, in this chapter, a comprehensive description of the basic concepts of BCI will be exhibited, and various visualization techniques employed in BCI's medical applications will be discussed.

Indexed as

Brain-Computer InterfacesCyclohexylaminesElectroencephalographyIndenes2-benzylidene-3-(cyclohexylamino)-2,3-dihydro-1H-inden-1-oneCyclohexylaminesIndenesBrain-computer interface (BCI)Electroencephalogram (EEG)Electromagnetic physiological signalsFunctional magnetic resonance imaging (fMRI)Functional near-infrared spectroscopy (fNIRS)Intracranial electroencephalogram (iEEG)Metabolic signalsMotorSpeechVisualization

Identifiers

PMID37460730

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.