Dr. Öğr. Üyesi Ebru Sayılgan
Mühendislik Fakültesi
Mekatronik Mühendisliği
Koordinatör, İzmir Ekonomi Üniversitesi
Dr. Öğr. Üyesi Ebru Sayılgan
Mühendislik Fakültesi
Mekatronik Mühendisliği
Koordinatör, İzmir Ekonomi Üniversitesi
BİLDİRİLER
CPCI-S veya CPCI-SSH endexli konferans bildiri kitaplarında yayımlanmış bildiriler
Uluslararası
- E.B.Akın , B.Küçük , N.Kuzey , D.Baran and E.Sayılgan .
(2022) Preliminary Design and Finite Element Analysis of A Low-Cost Wrist Rehabilitation Robot.
2022 Medical Technologies Congress
-, ISBN:
- M.B.AVCI , E.SAYILGAN.
(2022) Effective SSVEP Frequency Pair Selection over the GoogLeNet Deep Convolutional Neural Network.
2022 Medical Technologies Congress
-, ISBN:
- E.Sayilgan , Y.K.Yuce , Y.Isler.
(2019) Classification of Hand Movements from EEG Signals using Machine Learning.
Yasar University / 2019 Innovations In Intelligent Systems And Applications Conference (ASYU)
-, ISBN: 978-1-7281-2869-6
- E.Sayilgan , O.Karabiber Cura , Y.Isler.
(2017) Use of Clustering Algorithms and Extreme Learning Machine in Determining Arrhythmia Types.
Istanbul Technical University / IEEE Signal Processing And Communications Applications (SIU)
-, ISBN: 978-1-5090-6495-3
- E.Sayilgan , Y.Isler.
(2017) Medical Devices Sector in Medical Industry 4.0.
Karadeniz Technical University / 2017 Medical Technologies National Congress (TIPTEKNO)
-, ISBN: 978-1-5386-0634-6
- E.Sayilgan , S.Sahin .
(2017) Feature Extraction of ECG Signals using NI LabVIEW Biomedical Workbench and Classification with Artificial Neural Network.
Izmir Katip Celebi University / 2017 Innovations In Intelligent Systems And Applications Conference (ASYU)
89-, ISBN: 978-605-84722-8-0
- E.Durmus , N.Gursel Ozmen.
(2015) Selection of Proper Electrodes and Improving Performance in Brain Computer Interfaces.
Inonu University / IEEE Signal Processing And Communications Applications (SIU)
-, ISBN: 978-1-4673-7386-9
- E.Durmus , Z.1. Sadreddini , N.Gursel Ozmen.
(2014) Distinctive Music Type and Mental Tasks from EEG Data.
Izmir Katip Celebi University / 2014 Innovations In Intelligent Systems And Applications Conference (ASYU)
-, ISBN: 978-605-84722-1-1
Diğer konferans bildiri kitaplarında yayımlanmış bildiriler
Ulusal
- E.Durmus , Z.Sadreddini , N.Gursel Ozmen.
(2014) Selection of Appropriate Feature and Classifier for Brain Computer Interface Systems.
Kocaeli University / International Federation Of Automatic Control (TOK)
651-656, ISBN:
Uluslararası
- M.Degirmenci , E.Sayilgan , Y.Isler.
(2021) Extracting the Steady-State Visual Evoked-Potentials Using Wigner-Ville Distribution.
International Balkan University / INTERNATIONAL CONFERENCE ON APPLIED SCIENCES, ENGINEERING AND MATHEMATICS
-, ISBN:
- E.Sayilgan , Y.Isler.
(2021) Review of Rehabilitation Technologies based on Brain-Computer Interfaces.
International Balkan University / INTERNATIONAL CONFERENCE ON APPLIED SCIENCES, ENGINEERING AND MATHEMATICS
-, ISBN:
- E.Sayilgan , Y.K.Yuce , Y.Isler.
(2021) Frequency Recognition from Temporal and Frequency Depth of the Brain-Computer Interface based on Steady-State Visual Evoked Potentials.
Hasan Kalyoncu University / 4th International Conference On Medical Devices (ICMD'2021)
-, ISBN:
- E.Sayilgan , Y.K.Yuce , Y.Isler.
(2020) Determining Seven Different Brain-Computer Interface Commands using Fourier Transform and Machine Learning Methods from SSVEP.
International Balkan University / INTERNATIONAL CONFERENCE ON APPLIED SCIENCES, ENGINEERING AND MATHEMATICS
6-12, ISBN: 978-608-4868-06-4
- E.Sayilgan , Y.K.Yuce , Y.Isler.
(2019) Discriminating the Gaze among Five Boxes from EEG Signals using Machine Learning.
Iskenderun Technical University / ICAII4.0 - International Conference On Artificial Intelligence Towards Industry 4.0
391-396, ISBN: 978-605-68970-3-0
- E.Sayilgan , Y.K.Yuce , Y.Isler.
(2019) Prediction of Evoking Frequency from Steady-State Visual Evoked Frequency.
Iskenderun Technical University / ICAII4.0 - International Conference On Artificial Intelligence Towards Industry 4.0
366-373, ISBN: 978-605-68970-3-0
- O.Karabiber Cura , E.Sayilgan , Y.Isler.
(2017) Arrhythmia Classification Using Fuzzy C-Means Clustering.
International Balkan University / INTERNATIONAL CONFERENCE ON APPLIED SCIENCES, ENGINEERING AND MATHEMATICS
98-106, ISBN: 978-608-65137-5-7