Detecting Seizures From EEG Signals Using the Entropy of Visibility Heights of Hierarchical Neighbors

Detecting Seizures From EEG Signals Using the Entropy of Visibility Heights of Hierarchical Neighbors

Epilepsy is a chronic disorder that causes unprovoked, recurrent sudden abnormal reactions of the brain. Characterizing electroencephalogram (EEG) signals of the patient is an effective way for the early prediction of epileptic seizures. In this paper, a new method called the entropy of visibility h...

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Bibliographic Details
Main Authors: Ming Zeng, Chun-yu Zhao, Qing-Hao Meng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Epilepsy
electroencephalogram (EEG)
entropy
visibility height
hierarchical neighbors
Online Access:https://ieeexplore.ieee.org/document/8601183/

Internet

https://ieeexplore.ieee.org/document/8601183/

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