Topological classifier for detecting the emergence of epileptic seizures

Topological classifier for detecting the emergence of epileptic seizures

Abstract Objective An innovative method based on topological data analysis is introduced for classifying EEG recordings of patients affected by epilepsy. We construct a topological space from a collection of EEGs signals using Persistent Homology; then, we analyse the space by Persistent entropy, a...

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Bibliographic Details
Main Authors: Marco Piangerelli, Matteo Rucco, Luca Tesei, Emanuela Merelli
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Research Notes
Subjects:
Complex systems
Brain
Epilepsy
Topological data analysis
Persistent entropy
Time series
Online Access:http://link.springer.com/article/10.1186/s13104-018-3482-7

Internet

http://link.springer.com/article/10.1186/s13104-018-3482-7

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