eprintid: 1577
rev_number: 11
eprint_status: archive
userid: 12
dir: disk0/00/00/15/77
datestamp: 2016-05-25 03:03:45
lastmod: 2016-05-25 03:05:08
status_changed: 2016-05-25 03:03:45
type: conference_item
metadata_visibility: show
creators_name: Tran, Duc Tan
creators_name: Nguyen, Linh Trung
creators_id: tantd@vnu.edu.vn
creators_id: linhtrung@vnu.edu.vn
title: Investigating the performance of expert system in a multistage system for automatic detection of epileptic spikes
ispublished: pub
subjects: ECE
subjects: ElectronicsandComputerEngineering
divisions: fac_fet
abstract: An automatic detection system for epileptic spikes is used as an assistive tool for epileptic analysis and diagnosis using electroencephalogram (EEG). Our system consists of four stages: preprocessing, feature extraction classification and expert system. In this paper, we concern to the performance of 4th stage (expert system) to choose the best threshold for detecting epileptic spikes efficiently. The proposed method is verified by experimental data acquired from ten patients (for training) and four patients (for testing).
date: 2016-01-01
date_type: published
full_text_status: public
pres_type: paper
pagerange: 1-5
event_title: JCC: the 2nd International Joint Conference on Convergence
event_location: Hanoi, Vietnam
event_dates: 1 January 016
event_type: conference
refereed: TRUE
citation:   Tran, Duc Tan and Nguyen, Linh Trung  (2016) Investigating the performance of expert system in a multistage system for automatic detection of epileptic spikes.  In: JCC: the 2nd International Joint Conference on Convergence, 1 January 016, Hanoi, Vietnam.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1577/1/IJCC2016_AnhDaoNguyenThi.doc