Detection of Epileptic Spike Patterns on EEG Signal of Epilepsy Patients with Wavelet Transform Method

Yulianto, Endro and Setioningsih, Endang Dian and Luthfiyah, Sari (2015) Detection of Epileptic Spike Patterns on EEG Signal of Epilepsy Patients with Wavelet Transform Method. International Journal of Computer Science and Telecommunications (IJCST), 6 (1). pp. 1-6. ISSN 2047-3338

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Abstract

Epilepsy is a disorder that occurs as such excessive not controlled from some or all central nervous system. Epilepsy is characterized by entering transient voltage to wave (spike and sharp wave) that are usually called epileptic spike. Detection and classifying of epileptic spike by using visual screening of EEG record is a work that complex and many time-consuming. This Research detect patterns epileptic spike in EEG signal of patients with epilepsy with the method wavelet transform through detection test result against gold standards using the detectability and selectivity. Types of wavelet that used in this research is Daubhecies 4, Coiflet 4, Mexican hat and Symlet 6. Wavelet Daubechies 4 produces the same value high of detectability and selectivity is 80% and 78.57% on the scale 9, Symlet 6 produces the 86.79% and 80.70% at scale 10, Coiflet 4 produces 83.02% and 78.57 % at scale 8, Mexican Hat produces 89.13% and 71.93% on the scale 3. Wavelet type Symlet 6 at scale 10 produces the detectability and selectivity, that is the best than 3 types of another wavelet.

Item Type:	Article
Uncontrolled Keywords:	Epileptic Spike, Wavelet, Detectability and Selectivity
Subjects:	R Medicine > Medical Electronics > Biomedical Engineering R Medicine > Medical Electronics
Divisions:	Poltekkes Kemenkes Surabaya > Pusat Penelitan dan Pengabdian Masyarakat > Pubikasi
Depositing User:	Nanik Indra Putri Sari
Date Deposited:	28 Feb 2023 02:13
Last Modified:	17 Apr 2023 06:49
URI:	http://repo.poltekkesdepkes-sby.ac.id/id/eprint/6438

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