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Classification of Focal and Non-focal EEG Signal for Epileptic Seizure Detection with Entropy Features Using KNN Classifier

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Emerging Technologies in Data Mining and Information Security

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 164))

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Abstract

Electroencephalography is the recording of the brain activity. It is used to diagnose the diverse disease conditions in the brain. In case of epilepsy, a specific part of the brain is affected. The EEG recorded from the affected part of the brain is called as focal EEG (FEEG), and the EEG recorded from the other portion is called as non-focal EEG (NFEEG). In this paper, an automatic method to classify the EEG signal has been proposed. Bern Barcelona database has been used in this method. Entropy features like approximate entropy (ApEn), sample entropy (SampEn), fuzzy entropy (FuzzyEn), and Reyni entropy (ReEn) features are analyzed. In this method, KNN classifier has been used to get the highest accuracy.

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Author information

Authors and Affiliations

  1. Saveetha School of Engineering SIMATS, Chennai, India

    N. Samreen Fatima & M. K. Mariam Bee

  2. Institute of Engineering and Management, Saltlake, India

    Abhishek Bhattacharya & Soumi Dutta

Authors
  1. N. Samreen Fatima
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  2. M. K. Mariam Bee
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  3. Abhishek Bhattacharya
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  4. Soumi Dutta
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Corresponding author

Correspondence to N. Samreen Fatima .

Editor information

Editors and Affiliations

  1. Faculdade de Engenharia da, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  2. Institute of Engineering and Management, Kolkata, West Bengal, India

    Satyajit Chakrabarti

  3. Institute of Engineering and Management, Kolkata, West Bengal, India

    Abhishek Bhattacharya

  4. Institute of Engineering and Management, Kolkata, West Bengal, India

    Sujata Ghatak

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Samreen Fatima, N., Mariam Bee, M.K., Bhattacharya, A., Dutta, S. (2021). Classification of Focal and Non-focal EEG Signal for Epileptic Seizure Detection with Entropy Features Using KNN Classifier. In: Tavares, J.M.R.S., Chakrabarti, S., Bhattacharya, A., Ghatak, S. (eds) Emerging Technologies in Data Mining and Information Security. Lecture Notes in Networks and Systems, vol 164. Springer, Singapore. https://doi.org/10.1007/978-981-15-9774-9_22

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