eprintid: 2946
rev_number: 11
eprint_status: archive
userid: 17
dir: disk0/00/00/29/46
datestamp: 2018-04-18 03:38:34
lastmod: 2018-04-18 03:38:34
status_changed: 2018-04-18 03:38:34
type: article
metadata_visibility: show
creators_name: Nguyen, Thi Anh Dao
creators_name: Nguyen, Linh Trung
creators_name: Nguyen, Van Ly
creators_name: Tran, Duc Tan
creators_name: Nguyen, The Hoang Anh
creators_name: Boashash, Boualem
creators_id: daonta81@gmail.com
creators_id: linhtrung@vnu.edu.vn
creators_id: tantd@vnu.edu.vn
title: A Multistage System for Automatic Detection of Epileptic Spikes
ispublished: pub
subjects: ECE
divisions: avitech
divisions: fac_fet
keywords: Epilepsy,  electroencephalogram  (EEG),  spike,  time-frequency,  continuous  wavelet  transform,  artificial  neuralnetwork, expert system, neurology
abstract: A multistage automatic detection system for epileptic spikes is introduced as an assistant tool for epileptic analysis and diagnosis based on electroencephalogram (EEG). The system consists of four stages: preprocessing, feature extraction, classifier and expert system. Multiple state-of-the-art signal processing and machine learning techniques including wavelet transform, spectral filtering, artificial neural network are utilized in order to improve the ability of the overall system stage by stage. Compared to other works, our contributions are three-fold: peaks in the EEG recording are categorized into two groups of non-epileptic spikes and possible epileptic spikes by a committee of three perceptrons; appropriate mother wavelet and wavelet scales are selected for the best system performance; and, based on the neurological fact that an epileptic spike is usually followed by a slow wave, a simple expert system is presented to eliminate pseudo-spikes which are closely analogous to true epileptic spikes. Experimental results show that the proposed system is capable of detecting epileptic spikes efficiently.
date: 2018-01
date_type: published
publisher: REV
official_url: http://rev-jec.org
id_number: http://dx.doi.org/10.21553/rev-jec.166
contact_email: linhtrung@vnu.edu.vn
full_text_status: public
publication: REV Journal on Electronics and Communications
volume: 8
number: 1-2
pagerange: 1-13
refereed: TRUE
issn: 1859-387X
related_url_url: http://dx.doi.org/10.21553/rev-jec.166
funders: Vietnam National University Hanoi
projects: QG.10.40
citation:   Nguyen, Thi Anh Dao and Nguyen, Linh Trung and Nguyen, Van Ly and Tran, Duc Tan and Nguyen, The Hoang Anh and Boashash, Boualem  (2018) A Multistage System for Automatic Detection of Epileptic Spikes.  REV Journal on Electronics and Communications, 8  (1-2).   pp. 1-13.  ISSN 1859-387X     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2946/1/document.pdf