Epileptic Seizure Detection With Permutation Fuzzy Entropy Using Robust Machine Learning Techniques

Epileptic Seizure Detection With Permutation Fuzzy Entropy Using Robust Machine Learning Techniques

The automatic and accurate determination of the epileptogenic area can assist doctors in presurgical evaluation by providing higher security and quality of life. Visual inspection of electroencephalogram (EEG) signals is expensive, time-consuming and prone to errors. Several numbers of automated sei...

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Bibliographic Details
Main Authors: Waqar Hussain, Bin Wang, Yan Niu, Yuan Gao, Xin Wang, Jie Sun, Qionghui Zhan, Rui Cao, Zhou Mengni, Muhammad Shahid Iqbal, Jie Xiang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Classification
electroencephalogram (EEG)
machine learning
permutation fuzzy entropy (PFEN)
seizure detection
Online Access:https://ieeexplore.ieee.org/document/8918102/

Internet

https://ieeexplore.ieee.org/document/8918102/

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