Epileptic seizure detection in EEG using mutual information-based best individual feature selection

作者：

Highlights：

• Electroencephalogram are decomposed into narrow-band by Empirical Mode Decomposition.

• Three discriminating features are extracted from each narrow-band signal.

• Dominant features are selected using Feature selection algorithm.

• Seizure detection are accomplished using neural network based classifier.

摘要

•Electroencephalogram are decomposed into narrow-band by Empirical Mode Decomposition.•Three discriminating features are extracted from each narrow-band signal.•Dominant features are selected using Feature selection algorithm.•Seizure detection are accomplished using neural network based classifier.

论文关键词：Electroencephalogram,Epilepsy,Seizure,Empirical mode decomposition,Mutual information-based best individual feature,Multi-layer perceptron neural network

论文评审过程：Received 27 June 2020, Revised 9 March 2021, Accepted 13 December 2021, Available online 7 January 2022, Version of Record 12 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116414