Data Mining Based Approach for Evaluation of EEG Signals for Epilepsy Detection-Reference-Cited by-同舟云学术

Data Mining Based Approach for Evaluation of EEG Signals for Epilepsy Detection

Published:2020-05-18 Issue: Volume:17 Page:48-57
ISSN:1109-9518
Container-title:WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE
language:en
Short-container-title:

Author:

Mansour Ayman M.¹,Obeidat Mohammad A.²,Al-Aqtash Murad¹

Affiliation:

1. Department of Communication, Electronics and Computer Engineering, Tafila Technical University, Tafila, 66110, JORDAN

2. Department of Power and Mechatronics Engineering, Tafila Technical University, Tafila, 66110, JORDAN

Abstract

The objective of this proposed research is to come up with a general methodology for classification of time series events, and to apply that methodology to the analysis of physiological signals recorded from epileptic patients for seizure analysis depending on EEG signal. In contrast to previous works, this research considered an alternative formulation of seizure analysis as a detection problem. This approach offers a good treatment of seizure detection

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference41 articles.

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5. Zijlmans. M, Flanagan .D, and Gotman .J, 2002,"Heart rate changes and ECoG abnormalities during epileptic seizures: prevalence and definition an objective clinical sign," Epilepsia, vol. 43, pp. 847-54.

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