Topological classifier for detecting the emergence of epileptic seizures

نویسندگان

  • Marco Piangerelli
  • Matteo Rucco
  • Emanuela Merelli
چکیده

In this work we study how to apply topological data analysis to create a method suitable to classify EEGs of patients affected by epilepsy. The topological space constructed from the collection of EEGs signals is analyzed by Persistent Entropy acting as a global topological feature for discriminating between healthy and epileptic signals. The Physionet data-set has been used for testing the classifier.

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عنوان ژورنال:
  • CoRR

دوره abs/1611.04872  شماره 

صفحات  -

تاریخ انتشار 2016