Evidence map›Paper›PMID 34038873›Full record

ArticleJournal of neural engineering2021

Benefits of deep learning classification of continuous noninvasive brain-computer interface control.

James R Stieger, Stephen A Engel, Daniel Suma, Bin He

Abstract read
In one paragraph

Article in Journal of neural engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Non-Invasive Brain-Computer Interfaces: State of the Art and Trends.IEEE reviews in biomedical engineering · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. [Multi-task motor imagery electroencephalogram classification based on adaptive time-frequency common spatial pattern combined with convolutional neural network].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
    Article
  14. Applying Big Transfer-based classifiers to the DEAP dataset.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022
    Article
  15. Article
  16. Article
  17. On the Deep Learning Models for EEG-Based Brain-Computer Interface Using Motor Imagery.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2022
    Article
  18. Article
  19. Review
  20. 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

4 authors.

James R StiegerCarnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, United States of America.
Stephen A EngelCarnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, United States of America.
Daniel SumaCarnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, United States of America.
Bin HeCarnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, United States of America.ORCID 0000-0003-2944-8602

Funding

Electrophysiological Source Imaging of Partial EpilepsyR01NS096761 · NINDS · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2016 to 2025
$3.6M
Electrophysiological source imaging guided transcranial focused ultrasoundRF1MH114233 · NIMH · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2017 to 2017
$2.4M
Mind-body awareness training and brain-computer interfaceR01AT009263 · NCCIH · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2016 to 2020
$2.0M
Integrative Training Program in NeuroimagingT32EB008389 · NIBIB · UNIVERSITY OF MINNESOTA · PI CHEN, WEI · 2008 to 2019
$1.4M
Spatio-temporal Dynamic Imaging of Seizure SourcesR01EB021027 · NIBIB · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2016 to 2020
$1.3M
NCCIH NIH HHS R01 AT009263NIBIB NIH HHS R01 EB021027NIBIB NIH HHS T32 EB008389NIMH NIH HHS RF1 MH114233NINDS NIH HHS R01 NS096761
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Brain-Computer InterfacesDeep LearningAlgorithmsElectroencephalographyHumansImaginationNeural Networks, ComputerBCIbrain–computer interfaceconvolutional neural networkdeep learningEEGmotor imagerysensorimotor rhythm

Identifiers

PMID34038873
PMCPMC9305984

What OpenQuestion holds

Textmetadata
LicenceTDM
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.