Takip et
Ebru Sayılgan
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Evaluation of wavelet features selected via statistical evidence from steady-state visuallyevoked potentials to predict the stimulating frequency
E Sayılgan, YK Yüce, Y İşler
Journal of the Faculty of Engineering and Architecture of Gazi University 36 …, 2021
122021
Medikal Endüstri 4.0 ile Tıbbi Cihaz Sektörü Medical Devices Sector in Medical Industry 4.0
E Sayılgan, Y İşler
TIP TEKNOLOJİLERİ KONGRESİ, 368-371, 2017
12*2017
Determining Gaze Information from Steady-State Visually-Evoked Potentials
E Sayılgan, YK Yüce, Y İşler
Karaelmas Science and Engineering Journal 10 (2), 151-157, 2020
112020
Prediction of Evoking Frequency from Steady-State Visual Evoked Frequency
E Sayilgan, YK Yuce, I Yalcin
Natural and Engineering Sciences 4 (3), 91-99, 2019
112019
Medical devices sector in medical industry 4.0
E Sayilgan, Y İşler
2017 Medical Technologies National Congress (TIPTEKNO), 1-4, 2017
102017
Use of clustering algorithms and extreme learning machine in determining arrhythmia types
E Sayilgan, ÖK Cura, Y İşler
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
102017
Evaluation of mother wavelets on steady-state visually-evoked potentials fortriple-command brain-computer interfaces
E Sayilgan, YK Yüce, Y İŞLER
Turkish Journal of Electrical Engineering and Computer Sciences 29 (5), 2263 …, 2021
82021
Can Music Classification be an Alternative for Brain Computer Interface Applications?
NG ÖZMEN, E DURMUŞ, Z SADREDDİNİ
Uludağ University Journal of The Faculty of Engineering 22 (2), 11-22, 2017
5*2017
Beyin Bilgisayar Arayüzü Sistemleri İçin Uygun Öznitelik ve Sınıflandırıcı Seçimi
E Durmuş, Z Sadreddini, N Gürsel Özmen
Otomatik Kontrol Ulusal Toplantısı (TOK), 651-656, 2014
52014
Frequency Recognition from Temporal and Frequency Depth of the Brain-Computer Interface based on Steady-State Visual Evoked Potentials
E Sayilgan, YK Yuce, Y Isler
Journal of Intelligent Systems with Applications 4 (1), 68-73, 2021
42021
Evaluation of Wigner-Ville Distribution Features to Estimate Steady-State Visual Evoked Potentials' Stimulation Frequency
M Degirmenci, E Sayilgan, Y Isler
Journal of Intelligent Systems with Applications 4 (2), 133-136, 2021
32021
Classification of Hand Movements from EEG Signals using Machine Learning Techniques
E Sayilgan, Y Kemal, YY Isler
2019 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-4, 2019
32019
EEG verilerinden farklı müzik türü ve zihinsel görevlerin ayırt edilmesi
Z Sadreddini, E Durmuş, NG Özmen
Akıllı sistemlerde Yenilik ve Uygulamaları, ASYU, 9-10, 2014
32014
Durağan Durum Görsel Uyaran Potansiyellerinden Fourier Dönüşümü ile Üç Farklı Frekansın Kestirimi - Estimation of Three Distinct Frequencies Using Fourier Transform of Steady …
E Sayılgan, YK Yüce, Y İşler
Düzce Üniversitesi Bilim ve Teknoloji Dergisi 8 (4), 2337-2343, 2020
22020
Evaluating Steady-State Visually Evoked Potentials-Based Brain-Computer Interface System Using Wavelet Features and Various Machine Learning Methods
E Sayilgan, YK Yuce, Y Isler
Brain Computer Interface, 2021
12021
Determining Seven Different Brain-Computer Interface Commands Using Fourier Transform And Machine Learning Methods From SSVEP
E Sayılgan, YK Yüce, Y İşler
INTERNATIONAL CONFERENCE OF APPLIED SCIENCES, ENGINEERING AND MATHEMATICS …, 2020
1*2020
Uyartım frekansının kestiriminde istatistiksel anlamlılığa dayalı olarak seçilen durağan durum görsel uyarılmış potansiyellere ait dalgacık özniteliklerinin değerlendirilmesi
E SAYILGAN, Y Yilmaz, Y İşler
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 36 (2), 593-606, 2020
12020
Investigating the Effect of Flickering Frequency Pair and Mother Wavelet Selection in Steady-State Visually-Evoked Potentials on Two-Command Brain-Computer Interfaces
E Sayilgan, YK Yuce, Y Isler
IRBM, 2022
2022
Evaluating Steady-State Visually-Evoked Potentials Using Ensemble Learning Methods
E Sayılgan
Department of Biomedical Technologies, The Graduate School of Natural and …, 2020
2020
Feature Extraction of ECG Signals using NI LabVIEW Biomedical Workbench and Classification with Artificial Neural Network
E Sayilgan, S Sahin
Journal of Intelligent Systems with Applications 2 (1), 34-38, 2019
2019
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20