Classification of motor imagery movements using multivariate empirical mode decomposition and short time Fourier transform based hybrid method

Classification of motor imagery movements using multivariate empirical mode decomposition and short time Fourier transform based hybrid method

Effective online processing of electroencephalogram (EEG) signals is a prerequisite of brain computer interfacing (BCI). In this paper, we propose a hybrid method consisting of multivariate empirical mode decomposition (MEMD) and short time Fourier transform (STFT) to identify left and right hand im...

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Bibliographic Details
Main Authors: Syed Khairul Bashar, Mohammed Imamul Hassan Bhuiyan
Format: Article
Language:English
Published: Elsevier 2016-09-01
Series:Engineering Science and Technology, an International Journal
Subjects:
Electroencephalogram (EEG)
Multivariate EMD
Energy
Short time Fourier transform
kNN classifier
Online Access:http://www.sciencedirect.com/science/article/pii/S2215098616302592

Internet

http://www.sciencedirect.com/science/article/pii/S2215098616302592

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