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Automatic Removal of Artifacts from Attention Deficit Hyperactivity Disorder Electroencephalograms Based on Independent Component Analysis

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Abstract

In this paper, we present an automatic artifact removal method by combining independent component analysis (ICA) and wavelet denoising to remove artifacts from attention deficit hyperactivity disorder (ADHD) electroencephalograms (EEGs). First, the ICA algorithm is used to analyze EEG signals to get the independent components (ICs); then, the wavelet method is applied to the demixed ICs as an intermediate step; finally, the EEG data are reconstructed from the new ICs (that are obtained in the intermediate step) by using the inverse ICA. The experimental results show that the automatic artifact removal method can not only remove eye artifacts, muscle artifacts and some unknown physiological artifacts sources, but also efficiently keep the weak neural activities from strong background artifacts. The results can establish a basis for ADHD clinical diagnose study.

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Acknowledgments

This work has been partially supported by the open project of the State Key Laboratory of Robotics and System at Harbin Institute of Technology (SKLRS-2010-2D-09, SKLRS-2010-MS-10), National Natural Science Foundation of China (61201096), the Natural Science Fund for colleges and universities in Jiangsu Province (10KJB510003), the Natural Science Fund in Changzhou City (CJ20110023) and Changzhou High-tech Research Key Laboratory Project (CM20123006). Thanks Dr. Suhong Wang in the First Hospital of Changzhou City for helpful discussion.

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Authors and Affiliations

  1. State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China

    Ling Zou

  2. School of Information Science and Engineering, Changzhou University, Changzhou, 213164, Jiangsu, China

    Ling Zou, Soukun Xu, Zhenghua Ma & Jieru Lu

  3. School of Information and Electronics, Beijing Institute of Technology, Beijing, 100081, China

    Wenjing Su

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  1. Ling Zou
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  2. Soukun Xu
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  3. Zhenghua Ma
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Correspondence to Zhenghua Ma.

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Zou, L., Xu, S., Ma, Z. et al. Automatic Removal of Artifacts from Attention Deficit Hyperactivity Disorder Electroencephalograms Based on Independent Component Analysis. Cogn Comput 5, 225–233 (2013). https://doi.org/10.1007/s12559-012-9199-3

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  • DOI: https://doi.org/10.1007/s12559-012-9199-3

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