title: Eye blink artifact rejection in single-channel electroencephalographic signals by complete ensemble empirical mode decomposition and independent component analysis.
abstract: To study an eye blink artifact rejection scheme from single-channel electroencephalographic (EEG) signals has been now a major challenge in the field of EEG signal processing. High removal performance is still needed to more strictly investigate pattern of EEG features. This paper proposes a new eye blink artifact rejection scheme from single-channel EEG signals by combining complete ensemble empirical mode decomposition (CEEMD) and independent component analysis (ICA). We compare the separation performance of our proposed scheme with existing schemes (wavelet-ICA, EMD-ICA, and EEMD-ICA) though real-life data by using signal-to-noise ratio. As a result, CEEMD-ICA showed high performance (11.86 dB) than all other schemes (10.78, 10.59, and 11.30 dB) in the ability of eye blink artifact removal.
authors.forename: Suguru
authors.initials: S
authors.lastname: Kanoga
authors.forename: Yasue
authors.initials: Y
authors.lastname: Mitsukura
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001767:Blinking / Q000502:physiology*; D004569:Electroencephalography; D004585:Electrooculography; D005123:Eye; D005260:Female; D006801:Humans; D008297:Male; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D058067:Wavelet Analysis; D055815:Young Adult