Features Extraction Method of Motor Imagery EEG Based on Information Granules

Jian Feng Hu; Zhen Dong Mu; Jing Hai Yin

doi:10.4028/www.scientific.net/AMM.496-500.1982

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 496-500Features Extraction Method of Motor Imagery EEG...

Features Extraction Method of Motor Imagery EEG Based on Information Granules

Abstract:

EEG is a complex signal source, feature extraction and classification algorithm was studied for the brain electrical signal is also a key point in the research of brain waves, information granule clustering algorithm is one of the main idea, at the same time, the partial least square method is an effective method of dimension reduction, this paper, the use of information granule and partial least squares analysis of visual evoked potential EEG signals, the results show that this method can effectively extract the characteristics.

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Periodical:

Applied Mechanics and Materials (Volumes 496-500)

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1982-1985

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.496-500.1982

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January 2014

Authors:

Jian Feng Hu, Zhen Dong Mu, Jing Hai Yin

Keywords:

EEG, Information Granules, Motor Imaginary

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References

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