TUBITAK BCI: Development of Electroencephalography (EEG) Signal Analysis Techniques for Brain Computer Interface (BCI) Systems
Ali Ozgur Argunsah (alumni)
Jaime Delgado Saa
In this project, we are developing new signal analysis and pattern recognition algorithms for brain-computer interfaces (BCI).
Electroencephalography (EEG) based BCI systems are a new development in the field of applied neurophysiology. These systems are being developed in order to enable people who cannot use their motor functions, such as Amyotrophic Lateral Sclerosis (ALS) and Tetraplegic patients, to control some computer based devices. Currently the most important application areas of BCI systems are: to facilitate the communication of ALS and paralyzed patients with their environments; and to enable people with spinal cord injuries to physically manipulate their surroundings by controlling neuroprostheses. Our work involves both the development of new algorithms as well as their analysis on experimental data we collect ourselves in a state-of-the art facility. In this project we are collaborating with other research groups in Istanbul University Faculty of Medicine, and Malardalen University in Sweden.
In the framework of the "Development of Electroencephalography (EEG) Signal Analysis Techniques for Brain Computer Interface (BCI) Systems" project, the following papers are published: