title: Automatic Artifact Removal from Electroencephalogram Data Based on A Priori Artifact Information.
abstract: Electroencephalogram (EEG) is susceptible to various nonneural physiological artifacts. Automatic artifact removal from EEG data remains a key challenge for extracting relevant information from brain activities. To adapt to variable subjects and EEG acquisition environments, this paper presents an automatic online artifact removal method based on a priori artifact information. The combination of discrete wavelet transform and independent component analysis (ICA), wavelet-ICA, was utilized to separate artifact components. The artifact components were then automatically identified using a priori artifact information, which was acquired in advance. Subsequently, signal reconstruction without artifact components was performed to obtain artifact-free signals. The results showed that, using this automatic online artifact removal method, there were statistical significant improvements of the classification accuracies in both two experiments, namely, motor imagery and emotion recognition.
authors.affiliation: China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China.
authors.forename: Chi
authors.initials: C
authors.lastname: Zhang
authors.affiliation: China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China.
authors.forename: Li
authors.initials: L
authors.lastname: Tong
authors.affiliation: China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Zeng
authors.affiliation: China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China.
authors.forename: Jingfang
authors.initials: J
authors.lastname: Jiang
authors.affiliation: China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China.
authors.forename: Haibing
authors.initials: H
authors.lastname: Bu
authors.affiliation: China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Yan
authors.affiliation: China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China.
authors.forename: Jianxin
authors.initials: J
authors.lastname: Li
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis