Yazar "Aydemir, Önder" için MÜF, Elektrik-Elektronik Mühendisliği Bölümü Koleksiyonu listeleme
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Beyin-bilgisayar arayüzü uygulamalarında etkin kanalların belirlenmesi
Yavuz, Ebru; Aydemir, Önder (Ieee, 2017)Brain computer interface systems are modeled to facilitate lives of patients who have not a problem in their cognitive functions but also can not move their muscles. the performance of such systems highly depends on features ... -
Classification of brain responses to the various spice odors
Aydemir, Önder; Altun, Hilal; Ergün, Ebru (Ieee, 2018)Since one of the main goal of the human brain is to take and evaluate stimuli that comes from sensory organs, it is possible to measure their functionality. in this study we classified the electroencephalography signals ... -
Classification of EEG based BCI signals imagined hand closing and opening
Yavuz, Ebru; Aydemir, Önder (Ieee, 2017)Brain-computer interfaces allow people to manage electronic devices such as computers without using their motor nervous system. When the brain is in a function, nerve cells in the brain communicate with each other with ... -
Classification of electroencephalography signals recorded during olfaction of some spices
Altun, Hilal; Ergün, Ebru; Aydemir, Önder (Ieee, 2018)Responses to different information from the sensory organs of the brain can be analyzed by various brain imaging techniques. Among these techniques, electroencephalography (EEG) is widely used because it is performed at a ... -
Classification of motor imaginary based near-infrared spectroscopy signals
Ergün, Ebru; Aydemir, Önder (Ieee, 2018)Near Infrared spectroscopy (NIRS) is a brain imaging technique that measures hemodynamic activity in the human brain cortex with special wavelengths (infrared) in the light. the use of this technique in brain-computer ... -
Decoding of binary mental arithmetic based near infrared spectroscopy signals
Ergün, Ebru; Aydemir, Önder (Ieee, 2018)There has been an increase interest for functional near-infrared spectroscopy (MRS) in recent years since it is a non-invasive technique as well as few restrictions to the subjects and not affected by electrical noise. in ... -
Etkin epoklar ile motor hayaline dayalı EEG işaretlerinin sınıflandırma doğruluğunun artırılması
Ergün, Ebru; Aydemir, Önder (2018)Beyin bilgisayar arayüzleri (BBA) sadece beyinde üretilen işaretleri kullanarak çeşitli elektronik cihazları kullanmayı olanaklı hale getiren sistemlerdir. Bu sistemlerin yüksek başarımlı olabilmesi için bu işaretlerden ... -
A hybrid BCI using singular value decomposition values of the fast walsh-hadamard transform coefficients
Ergün, Ebru; Aydemir, Önder (IEEE, 2023)One of the main goals of a brain computer interface (BCI) is to enable a communication channel between the brain and electronic devices by converting neural activity into control commands either for devices or applications. ... -
Investigating the informative brain region in multiclass electroencephalography and near infrared spectroscopy based BCI system using band power based features
Ergün, Ebru; Aydemir, Önder; Korkmaz, Onur Erdem (Taylor & Francis Ltd., 2024)In recent years, various brain imaging techniques have been used as input signals for brain-computer interface (BCI) systems. Electroencephalography (EEG) and near-infrared spectroscopy (NIRS) are two prominent techniques ... -
A new evolutionary preprocessing approach for classification of mental arithmetic based EEG signals
Ergün, Ebru; Aydemir, Önder (Springer, 2020)Brain computer interface systems decode brain activities from electroencephalogram (EEG) signals and translate the user's intentions into commands to control and/or communicate with augmentative or assistive devices without ... -
Olfaction recognition by EEG analysis using wavelet transform features
Yavuz, Ebru; Aydemir, Önder (Ieee, 2016)The responses of the brain into different information coming from sense organs could be analyzed by various kinds of measuring techniques. Among the existing techniques, Electroencephalography (EEG) is widely used because ... -
A robust and subject-specific sequential forward search method for effective channel selection in brain computer interfaces
Aydemir, Önder; Ergün, Ebru (Elsevier Science Bv, 2019)Background: the input signals of electroencephalography (EEG) based brain computer interfaces (BCI) are extensively acquired from scalp with a multi-channel system. However, multi-channel signals might contain redundant ... -
Zihinsel aritmetik tabanlı EEG sinyallerinden öznitelik çıkartımı
Yavuz, Ebru; Aydemir, Önder (Ieee, 2017)Analysis of mental arithmetic based electroencephalography (EEG) signal can be helpful for patients who have difficulty learning or understanding arithmetic or have autism spectrum disorders. It is difficult to separate ...