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2020 – today
- 2024
[j4]Ismihan Gül Gürbüz, Eda Akman Aydin
:
Combining features on vertical ground reaction force signal analysis for multiclass diagnosing neurodegenerative diseases. Int. J. Medical Informatics 191: 105542 (2024)- [c5]Ayse Nur Tekindor, Eda Akman Aydin:
Feature Selection Improves Speech Based Parkinson's Disease Detection Performance. BIOSTEC (1) 2024: 726-732 - 2022
- [c4]Yigithan Genis, Eda Akman Aydin:
Diagnosis of Epilepsy Disease with Deep Learning Methods Using EEG Signals. SIU 2022: 1-4 - 2020
- [j3]Eda Akman Aydin:
Subject-Specific feature selection for near infrared spectroscopy based brain-computer interfaces. Comput. Methods Programs Biomed. 195: 105535 (2020)
2010 – 2019
- 2018
- [j2]Eda Akman Aydin, Ömer Faruk Bay, Inan Güler:
P300-Based Asynchronous Brain Computer Interface for Environmental Control System. IEEE J. Biomed. Health Informatics 22(3): 653-663 (2018) - [c3]Eda Akman Aydin, Ömer Faruk Bay, Inan Güler:
Analysis of asynchronous brain computer interface using discrete wavelet transform. SIU 2018: 1-4 - 2016
- [j1]Eda Akman Aydin, Ömer Faruk Bay, Inan Güler:
Implementation of an Embedded Web Server Application for Wireless Control of Brain Computer Interface Based Home Environments. J. Medical Syst. 40(1): 27:1-27:10 (2016) - 2015
- [b1]Eda Akman Aydin:
Ortam kontrol uygulamasına yönelik p300 tabanlı asenkron beyin bilgisayar arayüzü tasarımı ve uygulaması (Design and implementation of p300 based asyncronous brain computer interface for environment control applications). Gazi University, Turkey, 2015 - [c2]Eda Akman Aydin, Ömer Faruk Bay, Inan Güler:
Region based Brain Computer Interface for a home control application. EMBC 2015: 1075-1078 - [c1]Eda Akman Aydin, Ömer Faruk Bay, Inan Güler:
Classification of P300 event related potentials with Discrete Wavelet Transform. SIU 2015: 1200-1203
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