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A Review on Automatic Epilepsy Detection from EEG Signals

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Advances in Communication and Computational Technology (ICACCT 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 668))

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Abstract

Epilepsy is a well-known neurological disorder which affects moreover 2% of the World’s population. Irregular excessive neuronal activities to the human brain cause epileptic seizures onset. Electroencephalograph (EEG) signals are mostly examined for the detection of epileptic seizure onsets. But an EEG signal consists of a huge amount of complicated information and it is very difficult to analyze it manually. Over the decades, a lot of research has been focused on the development of automated epilepsy diagnosis systems. These systems are dependent on sophisticated feature captureization and classification techniques. The paper aims to present a generalized review and performance comparison of the work reported over a decade in the area of automated epilepsy diagnosis systems that will help future researchers lead a better direction.

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Authors and Affiliations

  1. Guru Jambheshwar University of Science and Technology, Hisar, India

    Satyender & Sanjeev Kumar Dhull

  2. GL Bajaj Institute of Technology and Management, Greater Noida, India

    Krishna Kant Singh

Authors
  1. Satyender
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  2. Sanjeev Kumar Dhull
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  3. Krishna Kant Singh
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Corresponding author

Correspondence to Satyender .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Maryland Eastern Shore, Princess Anne, MD, USA

    Gurdeep Singh Hura

  2. Department of Master of Computer Applications, National Institute of Technology Kurukshetra, Kurukshetra, Haryana, India

    Ashutosh Kumar Singh

  3. Department of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka, Malaysia

    Lau Siong Hoe

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Satyender, Dhull, S.K., Singh, K.K. (2021). A Review on Automatic Epilepsy Detection from EEG Signals. In: Hura, G.S., Singh, A.K., Siong Hoe, L. (eds) Advances in Communication and Computational Technology. ICACCT 2019. Lecture Notes in Electrical Engineering, vol 668. Springer, Singapore. https://doi.org/10.1007/978-981-15-5341-7_110

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  • DOI: https://doi.org/10.1007/978-981-15-5341-7_110

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5340-0

  • Online ISBN: 978-981-15-5341-7

  • eBook Packages: EngineeringEngineering (R0)

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