Automatic Diagnosis of Epileptic Seizure in Electroencephalography Signals Using Nonlinear Dynamics Features

Automatic Diagnosis of Epileptic Seizure in Electroencephalography Signals Using Nonlinear Dynamics Features

Epilepsy is one of the most common neurological disorders generally characterized by sudden and recurrent unprovoked seizures, which is commonly diagnosed through visual inspection of electroencephalography (EEG) signals. However, since EEG signals are highly complex, nonlinear and nonstationary in...

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Bibliographic Details
Main Authors: Shanen Chen, Xi Zhang, Lili Chen, Zhixian Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Electroencephalography
entropy
nonlinear dynamics features
analysis of variance
least square-support vector machine
seizure diagnosis
Online Access:https://ieeexplore.ieee.org/document/8709668/

Internet

https://ieeexplore.ieee.org/document/8709668/

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