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All Journal INTEGER: Journal of Information Technology Jurnal Teknoinfo The IJICS (International Journal of Informatics and Computer Science) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Mantik Indonesian Journal of Business Intelligence (IJUBI) Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM Infotek : Jurnal Informatika dan Teknologi Academia Open Indonesian Journal of Cultural and Community Development Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran EXPLORER Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Indonesian Journal of Islamic Studies Prosiding University Research Colloquium Jurnal Sistem Cerdas dan Rekayasa Indonesian Journal of Applied Technology Journal of Internet and Software Engineering Journal of Technology and System Information Journal of Electrical Engineering
Arif Senja Fitrani
Universitas Muhammadiyah Sidoarjo
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Journal : Procedia of Social Sciences and Humanities

 1 
Extraction of EEG Signal Recording Features using Discrete Wavelet Transform (DWT) Method For Classification Of Ictal Epilepsy: Ekstraksi Fitur Rekaman Sinyal EEG menggunakan Metode Discrete Wavelet Transform (DWT) Untuk Klasifikasi Iktal Epilepsi Eviyanti, Ade; Fitrani, Arif Senja; Nisak, Umi khoirun
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.231

Abstract

Epilepsy is the most common neurological disorder in humans characterized by recurrent ictal (convulsions). Ictalism is defined as a sudden change in the electrical function of the brain, resulting in behavioral changes, such as loss of consciousness, jerky movements, loss of breath and temporary memory. Epilepsy is a chronic, non-communicable brain disease that affects about 50 million people worldwide. Electroencephalogram (EEG) signals contain important details regarding the electrical actions performed by the brain. EEG signal analysis is important for detecting diseases, one of which is epilepsy. However, these signals can be complex and require human expertise. The random, non-stationary behavior of the EEG signal makes ictal prediction difficult. So ictal detection and prediction is a very important issue. Various signal processing methods along with feature extraction are adapted to categorize EEG signal segments to obtain specific characteristics of the signal. The purpose of this paper is to improve the accuracy of the classification of epileptic ictal, then the EEG signal feature extraction is carried out so that the specific characteristics of the signal needed in the trial process are obtained. The study data used EEG signals from 24 patients from the CHB-MIT EEG public dataset from Children's Hospital, Boston. Signals were recorded from 23 epileptic children (of which 2 cases were obtained from the same child at 1.5 year intervals). The approach presented in this paper for feature extraction uses the Discrete Wavelet Transform (DWT) method to obtain the characteristics of the EEG signal, while for the classification process using the SVM method. It is hoped that the proposed method can detect epileptic ictal using EEG signal recording.
Co-Authors Ade Eviyanti Aditya Wira Utama Agustin, Erlina Ahmi Arifuadi Anggraeni, Anifah Warda ARDIANSYAH ARDIANSYAH Astutik, Ika Ratna Indra Bayu Rama Dhani Bimantoro, Riky Andreansyah Busono, Suhendro Cahyani, Ravica Eka Damara, Rivaldi Garindra Denny Hartanto Dewi Eka Safitri Dona Ardiansyah Eriyanto, Sandi Eko Eviyanti , Ade Fajar Suryansyah Fajrillah, Fajrillah Faqih, Ahmad Abdullah Fitriyanto, Ade Habibur Rahman Arjuni Hadi, Miftakhul Hartanto, Denny Hindarto Irwan Alnarus Kautsar Jagad Yudha Awali Lia Iftitah Linda Kushernawati Lukman Harun Iskandar M. Arsyil Adhi’im M. Purnomo Adji Saputro Marshal Sheva Aljunza Mauliana, Metatia Intan Mochamad Alfan Rosid Mochamad Rifqi Aminudin Muhamamad Wahyu Muhammad Assegaf Ba'alwi Muhammad Fadil Santoso muhammad Hendra Oktaviano Muhammad Muzayyin Muhammad, Khithoh Sabda Nikko Enggaliano Pratama Nurdyansyah Nurtia Suryani Pandi Rais Prasetyo, Heri Rahmi Aulia Barlian Refinda, Achmad Ainun Gusti Rohman Dijaya RR. Debby Amalia Azhari Satria Hidayahtullah Setiawan, Hamzah Shiddiq, Zulfian Syahril Silvie Nur Millah Sukma Aji Sumarno Sumarno Suprianto Syafaat, Dany Syah, Naufal Galfan Syahrorini, Syamsudduha Uce Indahyanti Umi Khoirun Nisak Wahidiyah Kurniawati Wahyu Setia Bintara Wirda Novarika Yulian Findawati Yusuf Raharja Zahputra, Aldy Trisza