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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2016-09-01
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Series: | Engineering Science and Technology, an International Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098616302592 |