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Methodologies for Epilepsy Detection: Survey and Review

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International Conference on Innovative Computing and Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1087))

Abstract

Till date, according to the World Health Organization (WHO), more than 50 million people around the globe are suffering from epilepsy. Epilepsy is a neurological disorder characterized by the onset of intractable seizures. Seizures are the aberrant behaviour of cerebral signals which leaves the patient debilitated. Electroencephalogram (EEG) which measures the brain wave activity and neuro-imaging like CT scan and MRI are usually used for diagnosing epilepsy. Despite the fact that around 12 million Indian citizens suffer from chronic disease, there still exists a huge stigma associated with epilepsy. Social stigma so grave, that in India, there are a considerable number of marriages which are annulled or called off because either of the partners suffers from epilepsy. Compared to a healthy human being, the chances of survival for a person with epilepsy are 1.6–3 times lower. Hence, it calls for more attention to the detection of epilepsy. This paper gives the comparative study of different methodologies implemented so far for epilepsy detection and identifies the existing gaps in these methods.

All co-authors have equal contribution in the paper.

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Authors and Affiliations

  1. Department of Computer Engineering, Sardar Patel Institute of Technology, Bhavan’s Campus, Munshi Nagar, Andheri, Mumbai, India

    Ananya D. Ojha, Ananya Navelkar & Madhura Gore

  2. Department of Information Technology, G. H. Raisoni College of Engineering, Nagpur, India

    Dhananjay Kalbande

Authors
  1. Ananya D. Ojha
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  2. Ananya Navelkar
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  3. Madhura Gore
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  4. Dhananjay Kalbande
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Corresponding author

Correspondence to Dhananjay Kalbande .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, Delhi, India

    Ashish Khanna

  2. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, Delhi, India

    Deepak Gupta

  3. Department of Computer Science and Engineering, Christ University, Bangalore, India

    Siddhartha Bhattacharyya

  4. Department of Computer Science, VŠB—Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  5. Department of Computer Science, VŠB—Technical University of Ostrava, Ostrava, Czech Republic

    Jan Platos

  6. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

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Ojha, A.D., Navelkar, A., Gore, M., Kalbande, D. (2020). Methodologies for Epilepsy Detection: Survey and Review. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1087. Springer, Singapore. https://doi.org/10.1007/978-981-15-1286-5_18

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