Classification of Epileptic and Healthy Individual EEG Signals Using Neural Networks

被引：0

作者：

Aykat, Sukru ^{[1
]}

Senan, Sibel ^{[2
]}

Ensari, Tolga ^{[2
]}

机构：

[1] Mardin Artuklu Univ, Midyat Meslek Yuksekokulu, Bilgisayar Programciligi, Mardin, Turkey

[2] Istanbul Univ Cerrahpasa, Muhendislik Fak, Bilgisayar Muhendisligi, Istanbul, Turkey

来源：

2020 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK) | 2020年

关键词：

EEG Signal; Artificial Neural Networks; Wavelet Transform; WAVELET; SEIZURE;

D O I：

10.1109/ubmk50275.2020.9219474

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Electroencephalogram (EEG) are signals used for the analysis of the electrical and functional activity of the brain. These signals are commonly used to detect epileptic seizures. The aim of this study is to classify healthy and epileptic individual EEG signals using artificial neural networks (ANN). For this purpose, the open data source of the University of Bonn was used. The success rates of the classification results obtained with the designed ANN model show the effectiveness of this ANN structure in the application under consideration.

引用

页码：47 / 51

页数：5

共 50 条

[21] Classification of EEG Signals Using Relative Wavelet Energy and Artificial Neural Networks
Guo, Ling
Rivero, Daniel
Seoane, Jose A.
Pazos, Alejandro
[J]. WORLD SUMMIT ON GENETIC AND EVOLUTIONARY COMPUTATION (GEC 09), 2009, : 177 - 183
[22] Classification of Meditation Expertise from EEG Signals Using Shallow Neural Networks
Kaur, Katinder
Khandnor, Padmavati
Khosla, Ashima
[J]. BIOMEDICAL ENGINEERING SCIENCE AND TECHNOLOGY, ICBEST 2023, 2024, 2003 : 169 - 185
[23] Epileptic Seizure Prediction Using Convolutional Neural Networks and Fusion Features on Scalp EEG Signals
Lan, Qixin
Yao, Bin
Qing, Tao
[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2023, E106D (05) : 821 - 823
[24] Classification of transcranial Doppler signals using individual and ensemble recurrent neural networks
Seera, Manjeevan
Lim, Chee Peng
Tan, Kay Sin
Liew, Wei Shiung
[J]. NEUROCOMPUTING, 2017, 249 : 337 - 344
[25] Classification of EEG Signals for Prediction of Epileptic Seizures
Aslam, Muhammad Haseeb
Usman, Syed Muhammad
Khalid, Shehzad
Anwar, Aamir
Alroobaea, Roobaea
Hussain, Saddam
Almotiri, Jasem
Ullah, Syed Sajid
Yasin, Amanullah
[J]. APPLIED SCIENCES-BASEL, 2022, 12 (14):
[26] A simplified method for classification of epileptic EEG signals
Chandel G.
Shanir P.P.M.
Farooq O.
Khan Y.U.
[J]. Chandel, Garima (garimachandel@rediffmail.com), 2017, Inderscience Publishers, 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland (25) : 60 - 76
[27] EEG Signals Classification for Epileptic Detection: A review
Houssein, Essam H.
Hassanien, Aboul Ella
Ismaeel, Alaa A. K.
[J]. PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON INTERNET OF THINGS, DATA AND CLOUD COMPUTING (ICC 2017), 2017,
[28] EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals
Demir, Andac
Koike-Akino, Toshiaki
Wang, Ye
Haruna, Masaki
Erdogmus, Deniz
[J]. 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), 2021, : 1061 - 1067
[29] Emotion Classification from EEG Signals in Convolutional Neural Networks
Donmez, Hayriye
Ozkurt, Nalan
[J]. 2019 INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS CONFERENCE (ASYU), 2019, : 104 - 109
[30] Classification of epileptic EEG using neural network and wavelet transform
Petrosian, A
Homan, R
Prokhorov, D
Wunsch, D
[J]. WAVELET APPLICATIONS IN SIGNAL AND IMAGE PROCESSING IV, PTS 1 AND 2, 1996, 2825 : 834 - 843

← 1 2 3 4 5 →