Pattern Recognition of EEG Signals during Right and Left Motor Imagery based on Quasi-AR Model-Reference-Cited by-同舟云学术

Pattern Recognition of EEG Signals during Right and Left Motor Imagery based on Quasi-AR Model

Published:2005-05-05 Issue:0 Volume:2005 Page:153-158
ISSN:2188-4730
Container-title:Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
language:en
Short-container-title:Stochastic Systems Theory and its Applications (SSS)

Author:

Inoue Katsuhiro¹,Kajikawa Ryo¹,Nakamura Tomoyuki¹,Kumamaru Kousuke¹,Pfurtscheller Gert²

Affiliation:

1. Dept. of Systems Innovation and Informatics, Factory of Computer Science ans Systems Engineering, Kyushu Institute of Technology

2. Dept. of Medical Informatics, Institute of Biomedical Engineering, Graz University of Technology

Publisher

The Institute of Systems, Control and Information Engineers

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/sss/2005/0/2005_153/_pdf

Reference9 articles.

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2. [2] G. Pfurtscheller, Ch. Neuper, D. Flotzinger and M. Pregenzer: EEG-based discrimination between imagination of right and left hand movement, Electroencephalography and clinical Neurophysiology, 103, pp.642-651, 1997.

3. [3] G. Pfurtscheller, Ch. Neuper, A. Schlögl and K. Lugger: Separability of EEG Signals Recorded During Right and Left Motor Imagery Using Adaptive Autoregressive Parameters, IEEE Trans. on Rehabilitation Engineering, 6-3, pp.316-325, 1998.

4. [4] J. Hu, K. Kumamaru and K. Inoue: Hybrid Quasi-ARMAX Modeling and Identification for Nonlinear Systems, Trans, of the Society of Instrumental and control Engineers, Vol.31, No.1, pp.1-9, 1995.

5. [5] J. Hu, K. Kumamaru, K. Inoue and K. Hirasawa: A Hybrid Quasi-ARMAX Modeling Scheme for Identification of Nonlinear Systems, Trans, of the Society of Instrumental and control Engineers, Vol.34, No.8, pp.977-985, 1998.