Automated Epileptic Seizure Detection Method Based on the Multi-attribute EEG Feature Pool and mRMR Feature Selection Method

Bo Miao, Junling Guan, Liangliang Zhang, Qingfang Meng, Yulin Zhang

Research output: Chapter in Book/Conference paperConference paperpeer-review

3 Citations (Scopus)

Abstract

Electroencephalogram (EEG) signals reveal many crucial hidden attributes of the human brain. Classification based on EEG-related features can be used to detect brain-related diseases, especially epilepsy. The quality of EEG-related features is directly related to the performance of automated epileptic seizure detection. Therefore, finding prominent features bears importance in the study of automated epileptic seizure detection. In this paper, a novel method is proposed to automatically detect epileptic seizure. This work proposes a novel time-frequency-domain feature named global volatility index (GVIX) to measure holistic signal fluctuation in wavelet coefficients and original time-series signals. Afterwards, the multi-attribute EEG feature pool is constructed by combining time-frequency-domain features, time-domain features, nonlinear features, and entropy-based features. Minimum redundancy maximum relevance (mRMR) is then introduced to select the most prominent features. Results in this study indicate that this method performs better than others for epileptic seizure detection using an identical dataset, and that our proposed GVIX is a prominent feature in automated epileptic seizure detection.
Original languageEnglish
Title of host publicationComputational Science - ICCS 2019
EditorsJoão M.F. Rodrigues, Pedro J.S. Cardoso, Jânio Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael H. Lees, Peter M.A. Sloot, Jack J. Dongarra
PublisherSpringer Nature
Pages45-59
Number of pages15
Volume11538
ISBN (Electronic)978-3-030-22744-9
ISBN (Print)978-3-030-22743-2
DOIs
Publication statusPublished - 8 Jun 2019
Externally publishedYes
Event19th Annual International Conference on Computational Science (ICCS) - Faro, Portugal
Duration: 12 Jun 201914 Jun 2019

Publication series

NameLecture Notes In Computer Science

Conference

Conference19th Annual International Conference on Computational Science (ICCS)
Country/TerritoryPortugal
CityFaro
Period12/06/1914/06/19

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