relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1577/
title: Investigating the performance of expert system in a multistage system for automatic detection of epileptic spikes
creator: Tran, Duc Tan
creator: Nguyen, Linh Trung
subject: Electronics and Communications
subject: Electronics and Computer Engineering
description: 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
type: Conference or Workshop Item
type: PeerReviewed
format: application/msword
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1577/1/IJCC2016_AnhDaoNguyenThi.doc
identifier:   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.