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Investigating the performance of expert system in a multistage system for automatic detection of epileptic spikes

Duc Tan Tran and Linh Trung Nguyen (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.

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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).

Item Type:Conference or Workshop Item (Paper)
Subjects:Electronics and Communications
Electronics and Communications > Electronics and Computer Engineering
Divisions:Faculty of Electronics and Telecommunications (FET)
ID Code:1577
Deposited By: Assoc/Prof Duc Tan Tran
Deposited On:25 May 2016 03:03
Last Modified:25 May 2016 03:05

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