Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals

Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals

The brain is a complex structure made up of interconnected neurons, and its electrical activities can be evaluated using electroencephalogram (EEG) signals. The characteristics of the brain area affected by partial epilepsy can be studied using focal and non-focal EEG signals. In this work, a method...

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Bibliographic Details
Main Authors: Rajeev Sharma, Ram Bilas Pachori, U. Rajendra Acharya
Format: Article
Language:English
Published: MDPI AG 2015-02-01
Series:Entropy
Subjects:
electroencephalogram
epilepsy
entropy
feature extraction
classifier
Online Access:http://www.mdpi.com/1099-4300/17/2/669

Internet

http://www.mdpi.com/1099-4300/17/2/669

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