Classification of Low-density EEG for Epileptic Seizures by Energy and Fractal Features Based on EMD

Overview

Journal J Biomed Res

Specialty General Medicine

Date 2020 Jun 21

PMID 32561698

Citations 5

Authors

Luis Alfredo Moctezuma

Marta Molinas

Affiliations

Soon will be listed here.

Abstract

We are here to present a new method for the classification of epileptic seizures from electroencephalogram (EEG) signals. It consists of applying empirical mode decomposition (EMD) to extract the most relevant intrinsic mode functions (IMFs) and subsequent computation of the Teager and instantaneous energy, Higuchi and Petrosian fractal dimension, and detrended fluctuation analysis (DFA) for each IMF. We validated the method using a public dataset of 24 subjects with EEG signals from 22 channels and showed that it is possible to classify the epileptic seizures, even with segments of six seconds and a smaller number of channels ( ., an accuracy of 0.93 using five channels). We were able to create a general machine-learning-based model to detect epileptic seizures of new subjects using epileptic-seizure data from various subjects, after reducing the number of instances, based on the k-means algorithm.

Citing Articles

A review of epilepsy detection and prediction methods based on EEG signal processing and deep learning.

Zhang X, Zhang X, Huang Q, Chen F Front Neurosci. 2024; 18:1468967.

PMID: 39618710 PMC: 11604751. DOI: 10.3389/fnins.2024.1468967.

Two-dimensional CNN-based distinction of human emotions from EEG channels selected by multi-objective evolutionary algorithm.

Moctezuma L, Abe T, Molinas M Sci Rep. 2022; 12(1):3523.

PMID: 35241745 PMC: 8894479. DOI: 10.1038/s41598-022-07517-5.

Neural Decoding of EEG Signals with Machine Learning: A Systematic Review.

Saeidi M, Karwowski W, Farahani F, Fiok K, Taiar R, Hancock P Brain Sci. 2021; 11(11).

PMID: 34827524 PMC: 8615531. DOI: 10.3390/brainsci11111525.

EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective Optimization.

Moctezuma L, Molinas M Front Neurosci. 2020; 14:593.

PMID: 32625054 PMC: 7312219. DOI: 10.3389/fnins.2020.00593.

Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction.

Boubchir L J Biomed Res. 2020; 34(3):149-150.

PMID: 32561694 PMC: 7324273. DOI: 10.7555/JBR.34.20200700.

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