Automated epileptic seizures detection using multi-features and multilayer perceptron neural network

Automated epileptic seizures detection using multi-features and multilayer perceptron neural network

Abstract Detection of epileptic seizure activities from long-term multi-channel electroencephalogram (EEG) signals plays a significant role in the timely treatment of the patients with epilepsy. Visual identification of epileptic seizure in long-term EEG is cumbersome and tedious for neurologists, w...

Full description

Bibliographic Details
Main Authors: N. Sriraam, S. Raghu, Kadeeja Tamanna, Leena Narayan, Mehraj Khanum, A. S. Hegde, Anjani Bhushan Kumar
Format: Article
Language:English
Published: SpringerOpen 2018-09-01
Series:Brain Informatics
Subjects:
EEG
Entropy
Epileptic seizures
MLPNN classifier
Power spectral density
Teager energy
Online Access:http://link.springer.com/article/10.1186/s40708-018-0088-8

Internet

http://link.springer.com/article/10.1186/s40708-018-0088-8

Similar Items