Journal Title
Title of Journal: Artif Life Robotics
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Abbravation: Artificial Life and Robotics
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Authors: Hisaya Tanaka Takashi Matsuoka
Publish Date: 2010/10/06
Volume: 15, Issue: 3, Pages: 245-248
Abstract
We are developing a braincomputer interface BCI for eventrelated potentials P300 using speech stimulus in the Japanese language based on the need to investigate amyotrophic lateral sclerosis ALS patients Previously we studied a singletrial analysis of P300 with a 4Hz lowpass filter in order to improve the entry speed of the BCI However the problem was a low detection accuracy ie approximately 30–80 In this article we reviewed the application of independent component analysis ICA in order to improve the accuracy of singletrial analysis of P300 As a result the detection ratio improved from 542 for the traditional 4Hz lowpass filter to 909 in the choice of one between two Furthermore in an offline experiment the detection ratio of the P300 response to each sound of “a i u e and o” improved in the task to choose one among five with synthetic speech stimulus The maximum detection ratio was 947 and the detection ratio per sound improved from 470 to 851
Keywords:
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