Current Source Density Estimation Enhances the Performance of Motor-Imagery related Brain-Computer Interface

Dheeraj Rathee, Haider Raza, Girijesh Prasad, Hubert Cecotti

    Research output: Contribution to journalArticle

    11 Citations (Scopus)
    123 Downloads (Pure)

    Abstract

    The objective is to evaluate the impact of EEG referencing schemes and spherical surface Laplacian (SSL) methods on the classification performance of motor-imagery (MI)-related brain-computer interface systems. Two EEG referencing schemes: common referencing and common average referencing and three surface Laplacian methods: current source density (CSD), finite difference method, and SSL using realistic head model were implemented separately for pre-processing of the EEG signals recorded at the scalp. A combination of filter bank common spatial filter for features extraction and support vector machine for classification was used for both pairwise binary classifications and four-class classification of MI tasks. The study provides three major outcomes: 1) the CSD method performs better than CR, providing a significant improvement of 3.02% and 5.59% across six binary classification tasks and four-class classification task, respectively; 2) the combination of a greater number of channels at the pre-processing stage as compared with the feature extraction stage yields better classification accuracies for all the Laplacian methods; and 3) the efficiency of all the surface Laplacian methods reduced significantly in the case of a fewer number of channels considered during the pre-processing.
    Original languageEnglish
    Pages (from-to)2461-2471
    Number of pages10
    JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
    Volume25
    Issue number12
    Early online date13 Jul 2017
    DOIs
    Publication statusE-pub ahead of print - 13 Jul 2017

    Keywords

    • Motor imagery
    • Brain-computer interface
    • Preprocessing
    • Spatial filtering
    • Spherical surface Laplacian.

    Fingerprint Dive into the research topics of 'Current Source Density Estimation Enhances the Performance of Motor-Imagery related Brain-Computer Interface'. Together they form a unique fingerprint.

  • Profiles

    Cite this