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Pattern Recognition of EEG Signals and Applications in Robotics

Pattern Recognition of EEG Signals and Applications in Robotics
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摘要 With the rapid development of brain computer interface (simply called BCI), electroencephalography (EEG) will be another interesting bio-electrical signal applied in robotics after EMG. In order to realize it finally, the accurate measurement and pattern recognition of EEG signal must be a very important and elementary research objective. Based on our current researches and some reports from the other international colleagues in the field, we deeply discuss the basic characteristics of EEG signal, the development and selection of EEG measurement system, feature extraction and recognition methods of EEG signal, and then review EEG’s applications in robotics as well as the future research trends in this paper. With the rapid development of brain computer interface (simply called BCI), electroencephalography (EEG) will be another interesting bio-electrical signal applied in robotics after EMG. In order to realize it finally, the accurate measurement and pattern recognition of EEG signal must be a very important and elementary research objective. Based on our current researches and some reports from the other international colleagues in the field, we deeply discuss the basic characteristics of EEG signal, the development and selection of EEG measurement system, feature extraction and recognition methods of EEG signal, and then review EEG’s applications in robotics as well as the future research trends in this paper.
出处 《Chinese Journal of Biomedical Engineering(English Edition)》 2006年第4期159-170,共12页 中国生物医学工程学报(英文版)
基金 Supported by the NSFC-KOSEF Scientific Cooperation Program from the Korea Science and Engineering Foundation (Grant No. F01-2005-000-10069-0) the National Natural Science Foundation of China (Grant No. 50375115)
关键词 ELECTROENCEPHALOGRAPHY PATTERN RECOGNITION ROBOTICS CONTROL Electroencephalography Pattern recognition Robotics Control
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  • 1[1]Kleinert R,Reichenhall B.Biography of Hans Berger[EB/OL].[2004-05-10].http://www.whonamedit.com/doctor.cfm/845.html.
  • 2[2]Adrian E,Mathews B.The Berger rhythm[J].Brain,1934,57(2):355-385.
  • 3[3]Adrian E,Mathews B.The interpretation of potential waves in the cortex[J].Journal of Physiology,1934,81(3):440-471.
  • 4[4]Nagashino H,Kawano T,Akutagawa M,et al.Application of neural networks to brain dynamics identification by EEG[C].In:Proceedings of the 7th International Conference on Control,Automation,Robotics and Vision,2002-12-02,1:554-559.
  • 5[5]Bigan C.A system for neural networks detection and automatic identification of EEG epileptic events[C].IEE Colloquium on Intelligent Methods in Healthcare and Medical Applications,1998-10-20,1-4.
  • 6[6]Ito S,Mitsukura Y,Fukumi M,et al.A feature extraction of the EEG during listening to the music using the factor analysis and neural networks[C].In:Proceedings of the International Joint Conference on Neural Networks,2003-07-20,3:2263-2267.
  • 7[7]Cardoso JF.High-order contrasts for independent component analysis[J].Neural Computation,1999,11(1):157-192.
  • 8[8]George N,Thomas P.EMG pattern analysis and classification for a prosthetic arm[J].IEEE Trans on Biomedical Engineering,1982,29(6):403-412.
  • 9[9]Osamu F,Toshio T,et al.EMG-based human-robot interface for rehabilitation aid[C].In:Proc of ICRA,Leuven,Belgium,1998,3492-3497.
  • 10[10]John RH.EEG in clinical practice[M].Butterworth Publishers Inc,1982,8-45.

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