Practical Applications of Motor Imagery EEG Based on BP Neural Networks

Hua Liang Wu; Zhen Dong Mu; Jian Feng Hu

doi:10.4028/www.scientific.net/AMM.263-266.3374

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Practical Applications of Motor Imagery EEG Based...

Practical Applications of Motor Imagery EEG Based on BP Neural Networks

Abstract:

In the application of the classification, neural networks are often used as a classification tool, In this paper, neural network is introduced on motor imagery EEG analysis, the first EEG Hjort conversion, and then the brain electrical signal is converted into the frequency domain, Finally, the fisher distance for feature extraction in the EEG analysis, identification of the study sample was 97 86% recognition rate is 80% of the test sample.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

3374-3377

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.3374

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Online since:

December 2012

Authors:

Hua Liang Wu*, Zhen Dong Mu, Jian Feng Hu

Keywords:

Classification, EEG, Neural Network (NN)

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* - Corresponding Author

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