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Bonn University

http://epileptologie-bonn.de/cms/front_content.php?idcat=193&lang=3

A B C D E
Non-Epileptic Non-Epileptic Epileptic Epileptic Epileptic
Eyes Opened Eyes Closed Interictal Interictal Ictal

*This dataset is obviously not "big" enough for powerful deep learning, but good enough as a starting point.

State of the Art - Results

[ToDo]
[nsert Table 3 from (Djemili et al., 2016)]

(Ullah et al., 2018) - CNNs
- A vs E: 100%
- B vs E: 99.6%
- AB vs E: 99.7%
- C vs E: 98.5%
- D vs E: 99.3%
- CD vs E: 99.7%

  • AB vs CD vs E: [Insert Table 8 from them]

(Ahmedt-Aristizabal et al., 2018) - LSTM
- A vs E: 99.5%
- D vs E: 96.5%

  • AB vs CD vs E: [Insert Here]

(Djemili et al., 2016)
- A vs E: 100%
- D vs E: 97.7%

  • AB vs CD vs E: [Insert Here]

Notebooks

  1. LSTM (Colab Ready)
  2. CNN (Colab Ready)