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

Research output: Contribution to journalArticle

45 Citations (Scopus)
LanguageEnglish
Pages3141-3151
JournalEURASIP Journal on Advances in Signal Processing
Volume2005
Issue number19
DOIs
Publication statusPublished - 1 Nov 2005

Cite this

@article{f201206f3eb44c10a7ee5a1d7f5af73f,
title = "A Time-Frequency Approach to Feature Extraction for a Brain-Computer Interface with a Comparative Analysis of Performance Measures",
author = "D Coyle and G Prasad and Martin McGinnity",
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.",
year = "2005",
month = "11",
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doi = "10.1155/ASP.2005.3141",
language = "English",
volume = "2005",
pages = "3141--3151",
journal = "EURASIP Journal on Advances in Signal Processing",
issn = "1687-6172",
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AU - Coyle, D

AU - Prasad, G

AU - McGinnity, Martin

N1 - 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.

PY - 2005/11/1

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DO - 10.1155/ASP.2005.3141

M3 - Article

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SP - 3141

EP - 3151

JO - EURASIP Journal on Advances in Signal Processing

T2 - EURASIP Journal on Advances in Signal Processing

JF - EURASIP Journal on Advances in Signal Processing

SN - 1687-6172

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ER -