Scale-Dependent Signal Identification in Low-Dimensional Subspace Motor Imagery Task Classification

Scale-Dependent Signal Identification in Low-Dimensional Subspace : Motor Imagery Task Classification

Motor imagery electroencephalography (EEG) has been successfully used in locomotor rehabilitation programs. While the noise-assisted multivariate empirical mode decomposition (NA-MEMD) algorithm has been utilized to extract task-specific frequency bands from all channels in the same scale as the int...

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Bibliographische Detailangaben
Veröffentlicht in:Neural plasticity. - 1998. - 2016(2016) vom: 14., Seite 7431012
1. Verfasser: She, Qingshan (VerfasserIn)
Weitere Verfasser: Gan, Haitao, Ma, Yuliang, Luo, Zhizeng, Potter, Tom, Zhang, Yingchun
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2016
Zugriff auf das übergeordnete Werk:Neural plasticity
Schlagworte:Journal Article