Journal
NEURAL NETWORKS
Volume 22, Issue 9, Pages 1334-1339Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2009.05.008
Keywords
EEG; Vowel; Speech; Imagery; CSP
Funding
- Japan Science and Technology Agency CREST
- Ministry of Education, Culture, Sports, Science and Technology
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With the goal of providing a speech prosthesis for individuals with severe communication impairments. we propose a control scheme for brain-computer interfaces using vowel speech imagery. Electroencephalography was recorded in three healthy subjects for three tasks, imaginary speech of the English vowels /a/ and /u/, and a no action state as control. Trial averages revealed readiness potentials at 200 ms after stimulus and speech related potentials peaking after 350 iris Spatial filters optimized for task discrimination were designed using the common spatial patterns method, and the resultant feature vectors were classified using a nonlinear support vector machine. Overall classification accuracies ranged from 68% to 78%. Results indicate significant potential for the use of vowel speech imagery as a speech prosthesis controller. (C) 2009 Elsevier Ltd. All rights reserved.
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