Article-Journal

Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns

Recent studies have demonstrated the disassociation between the mu and beta rhythms of electroencephalogram (EEG) during motor imagery …

Youngjoo Kim, Jiwoo Ryu, K. Kim, C. C. Took, D. P. Mandic, Cheolsoo Park

Self-adhesive and Capacitive Carbon Nanotube-based Electrode to Record Electroencephalograph Signals from the Hairy Scalp

J. Kim, Cheolsoo Park, J. Hwang, J. Hong, K. Lee, S. Lee

Review of Data-Driven Multivariate and Multiscale Methods

Strong Uncorrelated Transform Applied to Spatially Distant Channel EEG Data

Youngjoo Kim, Cheolsoo Park

Time-Frequency Analysis of Electrohysterogram for Classification of Term and Preterm Birth

Jiwoo Ryu, Cheolsoo Park

EEG gamma band oscillations differentiate the planning of spatially directed movements of the arm versus eye: multivariate empirical mode decomposition analysis

Cheolsoo Park, M. Plank, J. Snider, S. Kim, H. Huang, S. Gepshtein, T. Coleman, H. Poizner

Multivariate Extensions of Empirical Mode Decomposition

Naveed Ur Rehman, David Looney, Alireza Ahrabian, Cheolsoo Park, Danilo P. Mandic

Augmented Complex Common Spatial Patterns for Classification of Noncircular EEG from Motor Imagery Tasks

Cheolsoo Park, C. C. Took, D. P. Mandic

EMD via MEMD: Multivariate noise-aided computation of standard EMD

A noise-assisted approach in conjunction with multivariate empirical mode decomposition (MEMD) algorithm is proposed for the …

N. U. Rehman, Cheolsoo Park, N. E. Huang, D. P. Mandic

Classification of motor imagery BCI using multivariate empirical mode decomposition

Cheolsoo Park, D. Looney, N. U. Rehman, A. Ahrabian, D. P. Mandic