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7th IEEE International Conference on Computer and Information Technology (CIT 2007)
Development of P300 Detection Algorithm for Brain Computer Interface in Single Trial
Aizu-Wakamatsu City, Fukushima, Japan
October 16-October 19
ISBN: 0-7695-2983-6
ASCII Text
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Hiroyuki Ishita, Motoki Sakai, Ji?nei Watanabe, Wenxi Chen, Daming Wei, "Development of P300 Detection Algorithm for Brain Computer Interface in Single Trial," Computer and Information Technology, International Conference on, pp. 1100-1105, 7th IEEE International Conference on Computer and Information Technology (CIT 2007), 2007.
 
 
BibTex
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@article{ 10.1109/CIT.2007.101,
author = {Hiroyuki Ishita and Motoki Sakai and Ji?nei Watanabe and Wenxi Chen and Daming Wei},
title = {Development of P300 Detection Algorithm for Brain Computer Interface in Single Trial},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2983-6},
pages = {1100-1105},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2007.101},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - Development of P300 Detection Algorithm for Brain Computer Interface in Single Trial
SN - 0-7695-2983-6
SP1100
EP1105
A1 - Hiroyuki Ishita,
A1 - Motoki Sakai,
A1 - Ji?nei Watanabe,
A1 - Wenxi Chen,
A1 - Daming Wei,
PY - 2007
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
Hiroyuki Ishita, University of Aizu
Motoki Sakai, University of Aizu
Ji?nei Watanabe, University of Aizu
Wenxi Chen, University of Aizu
Daming Wei, University of Aizu
This paper proposed a combinational method to estimate and discriminate the P300 component. The Kalman filter and the wavelet transformation were used to estimate the P300 component and PCA and three discrimination meth- ods; linear discrimination analysis, Mahalanobis distance, and Bayes' theorem, were used to discriminate the esti- mated P300 from single trial. The results show the effec- tiveness of the combinational technique in discrimination. The combination of wavelet transformation and a linear discrimination analysis can perform discrimination in the highest accuracy and the fastest processing speed. KEYWORD: ERP, P300, Kalman filter, Wavelet transfor- mation, Linear discrimination analysis, Mahalanobis dis- tance, Bayes' theorem
Citation:
Hiroyuki Ishita, Motoki Sakai, Ji?nei Watanabe, Wenxi Chen, Daming Wei, "Development of P300 Detection Algorithm for Brain Computer Interface in Single Trial," cit, pp.1100-1105, 7th IEEE International Conference on Computer and Information Technology (CIT 2007), 2007
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