A comparison of independent component analysis algorithms and measures to discriminate between EEG and artifact components

Dhani Dharmaprani, Hoang Nguyen, Trent Lewis, Dylan DeLosAngeles, John Willoughby, Kenneth Pope

    Research output: Contribution to conferencePaperpeer-review

    3 Citations (Scopus)

    Abstract

    Independent Component Analysis (ICA) is a powerful statistical tool capable of separating multivariate scalp electrical signals into their additive independent or source components, specifically EEG or electroencephalogram and artifacts. Although ICA is a widely accepted EEG signal processing technique, classification of the recovered independent components (ICs) is still flawed, as current practice still requires subjective human decisions. Here we build on the results from Fitzgibbon et al. [1] to compare three measures and three ICA algorithms. Using EEG data acquired during neuromuscular paralysis, we tested the ability of the measures (spectral slope, peripherality and spatial smoothness) and algorithms (FastICA, Infomax and JADE) to identify components containing EMG. Spatial smoothness showed differentiation between paralysis and pre-paralysis ICs comparable to spectral slope, whereas peripherality showed less differentiation. A combination of the measures showed better differentiation than any measure alone. Furthermore, FastICA provided the best discrimination between muscle-free and muscle-contaminated recordings in the shortest time, suggesting it may be the most suited to EEG applications of the considered algorithms. Spatial smoothness results suggest that a significant number of ICs are mixed, i.e. contain signals from more than one biological source, and so the development of an ICA algorithm that is optimised to produce ICs that are easily classifiable is warranted.

    Original languageEnglish
    Pages825-828
    Number of pages4
    DOIs
    Publication statusPublished - 13 Oct 2016
    Event38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), 2016 -
    Duration: 16 Aug 2016 → …

    Conference

    Conference38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), 2016
    Period16/08/16 → …

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