Evidence map›Paper›PMID 33716680›Full record

ReviewFrontiers in systems neuroscience2021

Progress in Brain Computer Interface: Challenges and Opportunities.

Simanto Saha, Khondaker A Mamun, Khawza Ahmed, Raqibul Mostafa, Ganesh R Naik, Sam Darvishi, Ahsan H Khandoker, Mathias Baumert

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in systems neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 2 pooled it
28.8field-weighted citation impact, top 1% 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

110 citing papers in PubMed, 2 syntheses or guidelines pooled it, 342 citations in OpenAlex.

  1. Pooled it
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  7. [Research on auditory neurofeedback technology and its multi-disciplinary applications].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    Review
  8. Review
  9. Wrinkle-Adaptive Kirigami Wearables With Anisotropic Deformability for Sleep EEG Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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50 more citing papers are in PubMed but not listed here.

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 4 institutions in 3 countries.

Simanto SahaSchool of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia.
Khondaker A MamunAdvanced Intelligent Multidisciplinary Systems (AIMS) Lab, Department of Computer Science and Engineering, United International University, Dhaka, Bangladesh.
Khawza AhmedDepartment of Electrical and Electronic Engineering, United International University, Dhaka, Bangladesh.
Raqibul MostafaDepartment of Electrical and Electronic Engineering, United International University, Dhaka, Bangladesh.
Ganesh R NaikAdelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Sam DarvishiSchool of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia.
Ahsan H KhandokerHealthcare Engineering Innovation Center, Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Mathias BaumertSchool of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia.
University of Adelaide · AUUnited International University · BDFlinders University · AUKhalifa University of Science and Technology · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such as rehabilitation, affective computing, robotics, gaming, and neuroscience. Significant research efforts on a global scale have delivered common platforms for technology standardization and help tackle highly complex and non-linear brain dynamics and related feature extraction and classification challenges. Time-variant psycho-neurophysiological fluctuations and their impact on brain signals impose another challenge for BCI researchers to transform the technology from laboratory experiments to plug-and-play daily life. This review summarizes state-of-the-art progress in the BCI field over the last decades and highlights critical challenges.

Indexed as

brain computer interfacecognitive rehabilitationelectrical/hemodynamic brain signalshybrid/multimodal BCIneuroimaging techniquesneurosensors

Identifiers

PMID33716680
PMCPMC7947348
OpenAlexW2910098374

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.