Epileptic Seizure Detection Using a Convolutional Neural Network

  • Bassem BouazizEmail author
  • Lotfi Chaari
  • Hadj Batatia
  • Antonio Quintero-Rincón
Conference paper
Part of the Advances in Predictive, Preventive and Personalised Medicine book series (APPPM, volume 10)


The availability of electroencephalogram (EEG) data has opened up the possibility for new interesting applications, such as epileptic seizure detection. The detection of epileptic activity is usually performed by an expert based on the analysis of the EEG data. This paper shows how a convolutional neural network (CNN) can be applied to EEG images for a full and accurate classification. The proposed methodology was applied on images reflecting the amplitude of the EEG data over all electrodes. Two groups are considered: (a) healthy subjects and (b) epileptic subjects. Classification results show that CNN has a potential in the classification of EEG signals, as well as the detection of epileptic seizures by reaching 99.48% of overall classification accuracy.


Epilepsy CNN Seizure detection EEG 


  1. 1.
    Acharya U, Oh SL, Hagiwara Y, Tan J, Adeli H (2017) Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals. Comput Biol Med 17:1–9Google Scholar
  2. 2.
    Arel I, Rose, Derek C, Karnowski TP (2010) Deep machine learning – a new frontier in artificial intelligence research [Research Frontier]. IEEE Comput Int Mag 5(4):13–18CrossRefGoogle Scholar
  3. 3.
    Bengio Y (2009) Learning deep architectures for AI. Foundations and trends in machine learning, vol 2(1). Now Publishers, Hanover, pp 1–127CrossRefGoogle Scholar
  4. 4.
    Deng L (2014) A tutorial survey of architectures, algorithms, and applications for deep learning. APSIPA Trans Signal Inf Process 3:1–29CrossRefGoogle Scholar
  5. 5.
    Direito B, Teixeira C, Ribeiro B, Castelo-Branco M, Sales F, Dourado A (2012) Modeling epileptic brain states using EEG spectral analysis and topographicmapping. J Neurosci Methods 210(2):220–229PubMedCrossRefGoogle Scholar
  6. 6.
    Gotman J (2011) A few thoughts on – what is a seizure? Epilepsy Behav 22:S2–S3PubMedPubMedCentralCrossRefGoogle Scholar
  7. 7.
    Hosseini M, Pompili D, Elisevich K, Soltanian-Zadeh H (2018) Random ensemble learning for EEG classification. Artif Intell Med 84:146–158. Epub 3 Jan 2018PubMedCrossRefGoogle Scholar
  8. 8.
    Kumar TS, Kanhanga V, Pachori RB (2015) Classification of seizure and seizure free EEG signals using local binary patterns. Biomed Signal Process Control 15:33–40CrossRefGoogle Scholar
  9. 9.
    LeCun Y, Boser B, Denker JS, Henderson D, Howard RE, Hubbard W, Jackel LD (1989) Backpropagation appliedto handwritten zip code recognition. Neural Comput 1(4):541–551CrossRefGoogle Scholar
  10. 10.
    Liang SF, Wang HC, Chang WL (2010) Combination of EEG complexity and spectral analysis for epilepsy diagnosis and seizure detection. EURASIP J Adv Signal Process 62:1–15Google Scholar
  11. 11.
    Litjens GJS, Kooi T, Bejnordi BE, Setio AAA, Ciompi F, Ghafoorian M, van der Laak JAWM, van Ginneken B, Sánchez CI (2017) A Survey on Deep Learning in Medical Image Analysis. CoRR.
  12. 12.
    Shoeb A, Edwards H, Connolly J, Bourgeois B, Treves ST, Guttagf J (2004) Patient-specific seizure onset detection. Epilepsy Behav 5:483–498PubMedCrossRefGoogle Scholar
  13. 13.
    Yaffe RB et al (2015) Physiology of functional and effective networks in epilepsy. Clin Neurophysiol 126(2):227–236PubMedCrossRefGoogle Scholar
  14. 14.
    Zandi AS, Javidan M, Dumont GA, Tafreshi R (2010) Automated real-time epileptic seizure detection in scalp EEG recordings using an algorithm based on wavelet packet transform. IEEE Trans Biomed Eng 57(7):1639–1651PubMedCrossRefGoogle Scholar
  15. 15.
    Zhang Z, Xu C, Feng W (2016) Road vehicle detection and classification based on deep neural network. In: IEEE International Conference on Software Engineering and Service Science (ICSESS), Beijing, 26–28 Aug 2016Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Bassem Bouaziz
    • 1
    Email author
  • Lotfi Chaari
    • 1
    • 2
  • Hadj Batatia
    • 3
  • Antonio Quintero-Rincón
    • 4
  1. 1.MIRACL LaboratoryUniversity of SfaxSfaxTunisia
  2. 2.Digital Research Centre of SfaxSfaxTunisia
  3. 3.IRITUniversity of ToulouseToulouseFrance
  4. 4.Department of BioengineeringInstituto Tecnológico de Buenos Aires (ITBA)Buenos AiresArgentina

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