Evidence map›Paper›PMID 24802700›Full record

ReviewIEEE reviews in biomedical engineering2014

Noninvasive brain-computer interfaces for augmentative and alternative communication.

Murat Akcakaya, Betts Peters, Mohammad Moghadamfalahi, Aimee R Mooney, Umut Orhan, Barry Oken, Deniz Erdogmus, Melanie Fried-Oken

Abstract readReview
In one paragraph

Review in IEEE reviews in biomedical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
–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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Emergence from Disorders of Consciousness: Optimizing Self-Agency Through Communication.Physical medicine and rehabilitation clinics of North America · 2024
    Review
  9. Identifying Thematics in a Brain-Computer Interface Research.Computational intelligence and neuroscience · 2023
    Review
  10. Article
  11. Review
  12. Article
  13. Feedback Related Potentials for EEG-Based Typing Systems.Frontiers in human neuroscience · 2021
    Article
  14. Children's Designs for the Future of Telehealth.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021
    Article
  15. Article
  16. Article
  17. An Event-Driven AR-Process Model for EEG-Based BCIs With Rapid Trial Sequences.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2019
    Article
  18. Review
  19. Article
  20. Ethical Considerations in Ending Exploratory Brain-Computer Interface Research Studies in Locked-in Syndrome.Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees · 2018
    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

8 authors.

Murat Akcakaya
Betts Peters
Mohammad Moghadamfalahi
Aimee R Mooney
Umut Orhan
Barry Oken
Deniz Erdogmus
Melanie Fried-Oken

Funding

Translational refinement of adaptive communication system for locked-in patientsR01DC009834 · NIDCD · OREGON HEALTH & SCIENCE UNIVERSITY · PI FRIED-OKEN, MELANIE · 2009 to 2024
$12.5M
NIDCD NIH HHS R01 DC009834
6 · The paper itself

Abstract

Brain-computer interfaces (BCIs) promise to provide a novel access channel for assistive technologies, including augmentative and alternative communication (AAC) systems, to people with severe speech and physical impairments (SSPI). Research on the subject has been accelerating significantly in the last decade and the research community took great strides toward making BCI-AAC a practical reality to individuals with SSPI. Nevertheless, the end goal has still not been reached and there is much work to be done to produce real-world-worthy systems that can be comfortably, conveniently, and reliably used by individuals with SSPI with help from their families and care givers who will need to maintain, setup, and debug the systems at home. This paper reviews reports in the BCI field that aim at AAC as the application domain with a consideration on both technical and clinical aspects.

Indexed as

Brain-Computer InterfacesSelf-Help DevicesElectroencephalographyHumans

Identifiers

PMID24802700
PMCPMC6525622

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.