Classification of motor imagery by means of cortical current density estimation and Von Neumann entropy

• Published in: Journal of neural engineering Vol. 4; no. 2; pp. 17 - 25
• Main Authors: Kamousi, Baharan, Amini, Ali Nasiri, He, Bin
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 01.06.2007
• Subjects: Algorithms; Artificial Intelligence; Electroencephalography - methods; Evoked Potentials, Motor - physiology; Humans; Imagination - physiology; Motor Cortex - physiology; Pattern Recognition, Automated - methods; Reproducibility of Results; Sensitivity and Specificity; User-Computer Interface

The goal of the present study is to employ the source imaging methods such as cortical current density estimation for the classification of left- and right-hand motor imagery tasks, which may be used for brain-computer interface (BCI) applications. The scalp recorded EEG was first preprocessed by su...