Region based Brain Computer Interface for a home control application. - Eda Akman Aydin; Ömer Faruk Bay; Inan Güler (EMBC, 2015)

Classification of P300 event related potentials with Discrete Wavelet Transform. - Eda Akman Aydin; Ömer Faruk Bay; Inan Güler (SIU, 2015)

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) - Eda Akman Aydin (2015)

Implementation of an Embedded Web Server Application for Wireless Control of Brain Computer Interface Based Home Environments. - Eda Akman Aydin; Ömer Faruk Bay; Inan Güler (J. Medical Syst., 2016)

Analysis of asynchronous brain computer interface using discrete wavelet transform. - Eda Akman Aydin; Ömer Faruk Bay; Inan Güler (SIU, 2018)

P300-Based Asynchronous Brain Computer Interface for Environmental Control System. - Eda Akman Aydin; Ömer Faruk Bay; Inan Güler (IEEE J. Biomed. Health Informatics, 2018)

Subject-Specific feature selection for near infrared spectroscopy based brain-computer interfaces. - Eda Akman Aydin (Comput. Methods Programs Biomed., 2020)

Diagnosis of Epilepsy Disease with Deep Learning Methods Using EEG Signals. - Yigithan Genis; Eda Akman Aydin (SIU, 2022)

Feature Selection Improves Speech Based Parkinson's Disease Detection Performance. - Ayse Nur Tekindor; Eda Akman Aydin (BIOSTEC (1), 2024)

Combining features on vertical ground reaction force signal analysis for multiclass diagnosing neurodegenerative diseases. - Ismihan Gül Gürbüz; Eda Akman Aydin (Int. J. Medical Informatics, 2024)

Speech signals-based Parkinson's disease diagnosis using hybrid autoencoder-LSTM models. - Ayse Nur Tekindor; Eda Akman Aydin (Comput. Biol. Medicine, 2025)