Myndplay: Measuring Attention Regulation with Single Dry Electrode Brain Computer Interface

C.N. van der Wal, M. Irrmischer

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademic

Abstract

Future applications for the detection of attention can be helped by the development and validation of single electrode brain computer interfaces that are small and user-friendly. The two objectives of this study were: to (1) understand the correlates of attention regulation as detected with the Myndplay Brainband XL and (2) compare these to existing neuroscientific literature. The Myndplay Brainband did succeed in highlighting the EEG frequency band Alpha as the main biomarker for sustained attention as measured with behavioral correlates. These results give an optimistic outlook to future applications that can detect mind wandering with single electrode brain computer interfaces.
Original languageEnglish
Title of host publicationBrain Informatics and Health - 8th International Conference, BIH 2015, Proceedings
EditorsY. Guo, K. Friston, A. Faisal, S. Hill, H. Peng
Place of PublicationSwitzerland
PublisherSpringer International Publishing
Pages192-201
Number of pages10
Volume9250
ISBN (Print)9783319233437
DOIs
Publication statusPublished - 2015
Event8th International Conference on Brain Informatics and Health, BIH 2015 - London, United Kingdom
Duration: 30 Aug 20152 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9250
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Brain Informatics and Health, BIH 2015
CountryUnited Kingdom
CityLondon
Period30/08/152/09/15

Keywords

  • Alpha power
  • Attention regulation
  • Brain computer interface
  • EEG
  • Mind wandering
  • Myndplay brainband

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    van der Wal, C. N., & Irrmischer, M. (2015). Myndplay: Measuring Attention Regulation with Single Dry Electrode Brain Computer Interface. In Y. Guo, K. Friston, A. Faisal, S. Hill, & H. Peng (Eds.), Brain Informatics and Health - 8th International Conference, BIH 2015, Proceedings (Vol. 9250, pp. 192-201). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9250). Springer International Publishing. https://doi.org/10.1007/978-3-319-23344-4_19