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Recent Trends in Communication, Computing, and Electronics pp 481–489Cite as

Analysis of Electroencephalogram for the Recognition of Epileptogenic Area Using Ensemble Empirical Mode Decomposition

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 524))

Abstract

Recognizing the epileptogenic area of a brain is done by analyzing the electroencephalogram signal. This area is responsible for the occurrence of seizure activity in a brain. In this paper, a methodology has been presented for the analysis of electroencephalogram to recognize epileptogenic area of brain. Ensemble empirical mode decomposition (EEMD) has been used for the estimation of intrinsic mode functions (IMFs), and six parameters consisting of statistical and frequency-based feature have been extracted from first ten IMFs. The ReliefF algorithm has been used to select the relevant features for the training of artificial neural network (ANN) for recognition of epileptogenic area. The methodology has been evaluated based on accuracy, specificity and sensitivity. The comparison has also been made with other methods of epileptogenic area detection where it has been observed that the proposed method outshines other.

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Author information

Authors and Affiliations

  1. Department of CSE, SLIET, Longowal, India

    Gurwinder Singh & Birmohan Singh

  2. Department of EIE, SLIET, Longowal, India

    Manpreet Kaur

Authors
  1. Gurwinder Singh
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  2. Birmohan Singh
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  3. Manpreet Kaur
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Corresponding author

Correspondence to Manpreet Kaur .

Editor information

Editors and Affiliations

  1. University of Allahabad, Allahabad, India

    Ashish Khare

  2. Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India

    Uma Shankar Tiwary

  3. Oakland University, Rochester, MI, USA

    Ishwar K. Sethi

  4. University of Allahabad, Allahabad, Uttar Pradesh, India

    Nar Singh

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Singh, G., Singh, B., Kaur, M. (2019). Analysis of Electroencephalogram for the Recognition of Epileptogenic Area Using Ensemble Empirical Mode Decomposition. In: Khare, A., Tiwary, U., Sethi, I., Singh, N. (eds) Recent Trends in Communication, Computing, and Electronics. Lecture Notes in Electrical Engineering, vol 524. Springer, Singapore. https://doi.org/10.1007/978-981-13-2685-1_46

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  • DOI: https://doi.org/10.1007/978-981-13-2685-1_46

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2684-4

  • Online ISBN: 978-981-13-2685-1

  • eBook Packages: EngineeringEngineering (R0)

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