This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (eHealth) (543) Neurology and Neurosciences (188) Web-based and Mobile Health Interventions (3325) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1536) Cognitive and Neurorehabilitation (266)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46135, first published .
Adaptive P300-Based Brain-Computer Interface for Attention Training: Protocol for a Randomized Controlled Trial

Adaptive P300-Based Brain-Computer Interface for Attention Training: Protocol for a Randomized Controlled Trial

Adaptive P300-Based Brain-Computer Interface for Attention Training: Protocol for a Randomized Controlled Trial

Authors of this article:

Sandra-Carina Noble1 Author Orcid Image ;   Eva Woods2 Author Orcid Image ;   Tomas Ward3 Author Orcid Image ;   John V Ringwood1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Velikoborets G, Nagornova Z, Shemyakina N. BCI-Speller’s Data and Approaches as the Basis for Cognitive BCI Applications (from Communication to Creation). Human Physiology 2023;49(S1):S133 View
  2. Noble S, Woods E, Ward T, Ringwood J. Accelerating P300-based neurofeedback training for attention enhancement using iterative learning control: a randomised controlled trial. Journal of Neural Engineering 2024;21(2):026006 View
  3. Kojima S, Kanoh S, P.P. Abdul Majeed A. An auditory brain-computer interface based on selective attention to multiple tone streams. PLOS ONE 2024;19(5):e0303565 View