Detection of Focal and Non-Focal Electroencephalogram Signals Using Fast Walsh-Hadamard Transform and Artificial Neural Network

Detection of Focal and Non-Focal Electroencephalogram Signals Using Fast Walsh-Hadamard Transform and Artificial Neural Network

The discrimination of non-focal class (NFC) and focal class (FC), is vital in localizing the epileptogenic zone (EZ) during neurosurgery. In the conventional diagnosis method, the neurologist has to visually examine the long hour electroencephalogram (EEG) signals, which consumes time and is prone t...

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Bibliographic Details
Main Authors: Prasanna J., M. S. P. Subathra, Mazin Abed Mohammed, Mashael S. Maashi, Begonya Garcia-Zapirain, N. J. Sairamya, S. Thomas George
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
fast Walsh–Hadamard transform
feature extraction
entropy
classification
artificial neural network
Online Access:https://www.mdpi.com/1424-8220/20/17/4952

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