Envelope Extraction Algorithms and the Application in Motor Imagery

Xiao Xiao Gong; Xiao Pei Wu; Xiao Jing Guo; Lei Zhang

doi:10.4028/www.scientific.net/AMM.401-403.1551

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Envelope Extraction Algorithms and the Application...

Envelope Extraction Algorithms and the Application in Motor Imagery

Abstract:

The envelope information is an important feature in EEG signal processing. This paper analyses the application of Hilbert transform and sliding window Infomax algorithm in envelope detection of EEG signals from different respects, and compares the classification results in left and right hand motor imagery. From the results, we see that, the signal envelope extracted by Hilbert transform is more accurate than sliding window Infomax algorithm, but the latter is superior in signal denoising, real-time ability and the richness of characteristics, sliding window Infomax algorithm has greater application potential.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

1551-1554

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.1551

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Online since:

September 2013

Authors:

Xiao Xiao Gong, Xiao Pei Wu, Xiao Jing Guo, Lei Zhang

Keywords:

Envelope Information, Hilbert Transform, Motor Imagery, Sliding Window Infomax Algorithm

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