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Volumn 116, Issue 3, 1997, Pages 290-301

Prompt recognition of brain states by their EEG signals

Author keywords

Artificial neural networks; Autoregressive models; Brain science; Electroencephalogram; Multichannel time series analysis; Pattern recognition

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BODY MOVEMENT; BRAIN ELECTROPHYSIOLOGY; ELECTROENCEPHALOGRAM; FOOT; HUMAN; HUMAN EXPERIMENT; INDEX FINGER; NORMAL HUMAN;

EID: 0030729009     PISSN: 14317613     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (20)

References (15)
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  • 2
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  • 3
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    • Multivariate autoregressive models for classification of spontaneous electroencephalogram during mental tasks
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    • Anderson, C. W., E. A. Stolz, and S. Shamsunder (1996). Multivariate autoregressive models for classification of spontaneous electroencephalogram during mental tasks. to appear in IEEE Trans. Biomed. Eng.
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    • Anderson, C.W.1    Stolz, E.A.2    Shamsunder, S.3
  • 5
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    • Graz brain-computer interface II: Towards communication between humans and computers based on online classification of three different EEG patterns
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  • 6
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    • Law, S. K., J. Rohrbaugh, C. M. Adams, and M. J. Eckhardt (1993). Improving spatial and temporal resolution in evoked EEG responses using surface Laplacians. Electroenc. Clin. Neurophys. 88, 309-322.
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  • 7
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    • Controlling computers with neural signals
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  • 9
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    • Neural network based classification of non-averaged event-related EEG responses
    • Peltoranta, M. and G. Pfurtscheller (1994). Neural network based classification of non-averaged event-related EEG responses. Med. Biol. Eng. Comp. 32, 189-196.
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  • 10
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    • Differentiation between finger, toe and tongue movement in man based on 40 Hz EEG
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  • 11
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    • Visualization of sensorimotor areas involved in preparation for hand movement based on classification of μ and β rhythms in single EEG trials in man
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.