A Time-Frequency Approach to Feature Extraction for a Brain-Computer Interface with a Comparative Analysis of Performance Measures

Research output: Contribution to journalArticlepeer-review

55 Citations (Scopus)
Original languageEnglish
Pages (from-to)3141-3151
JournalEURASIP Journal on Advances in Signal Processing
Issue number19
Publication statusPublished (in print/issue) - 1 Nov 2005

Bibliographical note

This paper presents a comprehensive overview of issues related to brain-computer interface (BCI) development and methods of extracting time-localised frequency spectral information from electroencephalogram signals to improve overall performance. This special issue journal publication included articles from many of the most prominent BCI research groups. This paper has been cited in two recent comprehensive surveys of BCI designs (Mason, Annals of Biomedical Engineering, 2007; Bashashati, Neural Engineering, 2007); in Mason (2007) the authors are identified as prominent researchers in the field. This work is part of a PhD thesis awarded the IEEE Computational Intelligence Society Outstanding Dissertation Award 2008.

Cite this