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Correction of Ocular Artifacts from EEG by DWT with an Improved Thresholding

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Computer Communication, Networking and Internet Security

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 5))

Abstract

Electroencephalogram (EEG) signals are widely being used for analyzing the activities of brain. It is extensively used for diagnosing different central nervous system disorders such as Alzheimer’s, Parkinson’s, seizures, epilepsy, etc. Ocular activity creates significant artifacts in EEG recordings. Analysis of the EEG and obtaining clinical information is difficult because of these noise sources. This paper proposes discrete wavelet transform (DWT) based denoising method with new statistical thresholding for single channel EEG signal. This method is evaluated on EEG signals taken from polysomnographic records, eegmmidb database. The effectiveness of the proposed method was measured using parameters such as signal to noise ratio (SNR), artifact rejection ratio (ARR) and comparing with the existing threshold method. Result of this study reveals that DWT with proposed thresholding method has shown superior performance in terms of SNR and ARR and effectively eliminates ocular artifacts.

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Author information

Authors and Affiliations

  1. Department of ECE, V R Siddhartha Engineering College, Vijayawada, 520007, India

    Vijayasankar Anumala

  2. Department of ECE, Andhra University College of Engineering, Visakhapatnam, 530022, India

    Rajesh Kumar Pullakura

Authors
  1. Vijayasankar Anumala
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  2. Rajesh Kumar Pullakura
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Corresponding author

Correspondence to Vijayasankar Anumala .

Editor information

Editors and Affiliations

  1. Anil Neerukonda Inst. of Tech. & Sci., Prof., Dept. of Computer Sci. & Engg. Anil Neerukonda Inst. of Tech. & Sci., Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Professional Colleges (SRMGPC), Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. CMR Technical Campus, Prof. & Head, Dept. of Comp. Sci. & Engg CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  4. DVR & Dr.HS MIC College of Technology, Professor DVR & Dr.HS MIC College of Technology, Kanchikacherla, Andhra Pradesh, India

    B. Janakiramaiah

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© 2017 Springer Nature Singapore Pte Ltd.

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Anumala, V., Pullakura, R.K. (2017). Correction of Ocular Artifacts from EEG by DWT with an Improved Thresholding. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Computer Communication, Networking and Internet Security. Lecture Notes in Networks and Systems, vol 5. Springer, Singapore. https://doi.org/10.1007/978-981-10-3226-4_15

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  • DOI: https://doi.org/10.1007/978-981-10-3226-4_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3225-7

  • Online ISBN: 978-981-10-3226-4

  • eBook Packages: EngineeringEngineering (R0)

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