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

RCTs - Protocols/Proposals (eHealth) (593) Neurology and Neurosciences (221) Web-based and Mobile Health Interventions (3627) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1802) Cognitive and Neurorehabilitation (301)

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 (4) Tweetations (2) 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

Conference Proceedings

  1. Noble S, Ward T, Ringwood J. 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Assessing the Impact of Environment and Electrode Configuration on P300 Speller Performance and EEG Signal Quality View