Browsing by Author "Duru, Adil Deniz"
Now showing items 1-17 of 17
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Acute Changes in Electrophysiological Brain Dynamics in Elite Karate Players
Duru, Adil Deniz; Balcıoğlu, Taylan Hayri; Özcan Çakır, Canan Elif; Göksel Duru, Dilek (Springer International Publishing, 2020)Regular physical exercise has enhanced effects on the human anatomy and functionality. Recently, an effect of a single set of exercise is shown to have positive effects on mood and on cognitive functioning. The aim of this ... -
Analysis of correlation between white matter changes and functional responses in thalamic stroke: a DTI & EEG study
Duru, Adil Deniz; Duru, Dilek Göksel; Yumerhodzha, Sami; Bebek, Nerses (Springer, 2016)Diffusion tensor imaging (DTI) allows in vivo structural brain mapping and detection of microstructural disruption of white matter (WM). One of the commonly used parameters for grading the anisotropic diffusivity in WM is ... -
Assessment of surgeon's stress level and alertness using EEG during laparoscopic simple nephrectomy
Göksel Duru, Dilek; Duru, Adil Deniz; Barkana, Duygun Erol; Şanlı, Öner Mehmet; Özkan, Mehmed (IEEE, 2013)Laparoscopic simple nephrectomy (LSN) is an accepted treatment modality for nonfunctioning kidneys. Besides decreased postoperative morbidity, LSN is an advantage with decreased analgesic requirements and convalescence. ... -
Dynamic time warping based connectivity classification of event-related potentials
Al-Rubaye, Kadhum Kareem; Bayat, Oǧuz; Ucan, Osman Nuri; Duru, Dilek Göksel; Duru, Adil Deniz (Institute of Electrical and Electronics Engineers Inc., 2019)Human brain electrical responses measured as Electroencephalogram epochs have different characteristics by means of amplitude and frequency content depending on the conditions and stimuli. Event-related potentials are the ... -
Evrişimsel sinir ağları tabanlı MR-MS imgeleri sınıflandırması
Duru, Dilek Göksel; Duru, Adil Deniz (Institute of Electrical and Electronics Engineers Inc., 2019)Processing of brain images has some difficulties because of the large data size and complexity of the data. Deep learning facilitates hierarchicical feature extraction automatically. However the optimization of deep nets ... -
Göz Hareketlerine Dayalı Beyin Bilgisayar Arayüzü Tasarımı
Modern teknoloji ile birlikte insanların göz hareketlerini inceleyerek uyaranlara karşı vermiş oldukları tepkiler takip edilebilir hale gelmiştir. Bu takip yöntemlerden biri de Göz İzleme (Eye-Tracking) tekniğidir. Bu ... -
Gözbebeği Hareketleri Temelli Duygu Durumu Sınıflandırılması
Mete, Samet; Çakır, Oğuz; Bayat, Oğuz; Duru, Dilek Göksel; Duru, Adil Deniz (Gazi Üniversitesi Bilişim Enstitüsü, 2020)İnsanlardaki duygu durumu otonom sinir sistemi tarafından kontrol edilmektedir. Bu sebeple, olumlu veyaolumsuz bir uyaran ile karşılaştığında otonom sinir sistemi çok kısa bir süre içerisinde, uyaran çeşidinin bireyde ... -
Improvement of design of a surgical interface using an eye tracking device (48, 2014)
Barkana, Duygun Erol; Acik, Alper; Duru, Dilek Göksel; Duru, Adil Deniz (BIOMED CENTRAL LTD, 2014)… -
Investigation of Electrophysiological Features During Mental Workload Paradigm
Duru, Dilek Göksel; Duru, Adil Deniz (IEEE, 2016)In the last few decades, the relationship between the mental workload and electrophysiological measurements are being studied. The aim of this study is to measure the electrophysiological responses of the autonomic and ... -
Neuroconnectivity analysis under mental workload and resting state conditions
Duru, Adil Deniz; Balcıoğlu, Hayri Taylan; Güney, Selen; Göksel Duru, Dilek (IEEE, 2017)Brain activation can be observed by means of electrical and haemodynamic responses under the resting state condition. Several brain regions are synchronously activated to form functional brain networks during the resting ... -
Olaya İlişkin Potansiyellerde Derin Öğrenme ile Örüntü Sınıflandırması
Duru, Dilek Göksel; Duru, Adil Deniz (IEEE, 2018)Cognitive state of a person can be monitored by the use of brain electrical activity measurements (Electroencephalogram, EEG). In the concept of this study, it is aimed to classify EEG topographies using deep learning. ... -
White Matter Changes in Thalamic Stroke
Yumerhodzha, Sami; Duru, Dilek Göksel; Duru, Adil Deniz; Bebek, Nerses (IEEE, 2014)Stroke as one the most significant health problems can be diagnosed by clinical symptoms and medical imaging modalities. Stroke patients mostly suffer from white matter changes, so the detection of any change in the white ... -
Yolak Tabanlı Uzaysal İstatistik ile Talamik İnme Sonrası Anatomik Bağlantısallık Değişimlerinin İncelenmesi
Duru, Dilek Göksel; Yumerhodzha, Sami; Duru, Adil Deniz; Sencer, Serra; Bebek, Nerses (IEEE, 2015)Diffusion tensor imaging (DTI) techniques allow the detection of changes in the microstructure of the human brain. The detection and follow-up of the underlying pathology and disruption of tissues is of vital importance. ... -
Zıt mevsim video uyaranlarına karşı ölçülen beyin elektriksel dinamiklerinin sınıflandırılması
Atasoy, Mehmet Berkay; Birankar, Eyüp; Arıca, Şafak Abdullah; Güney, Selen; Akbulut, Hüseyin; Achylov, Rahmet; Duru, Dilek Göksel; Duru, Adil Deniz (Institute of Electrical and Electronics Engineers Inc., 2019)In this study, it was aimed to classify the electrical signals recorded from human brain during different season (summer-winter) videos as stimuli. Data have been recorded using 14 channels EEG from four male participants. ...