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Maksimum oksijen tüketimi ile elektrofizyolojik ölçümler arasındaki ilişkinin analizi
(IEEE, 2016)
Bu çalışmada, beyin dinlenim durumu ve mental performans gerektiren durumlar arasındaki geçişlerde gözlenen merkezi ve otonom sinir sistemi yanıtlarındaki farklılıkların fiziksel performansa bağıl bulguları hedeflenmiştir. ...
Extraction of Multiple Sclerosis Lesions in MR Images Based on Active Contours
(IEEE, 2015)
In this study, a semi automatic segmentation of multiple sclerosis lesions in magnetic resonance (MR) images based on active contours is done. Based on the seed area selection by the user, the parametric active contours ...
Olaya İlişkin Potansiyellerde Derin Öğrenme ile Örüntü Sınıflandırması
(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
(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 ...
Göz Hareketleri Takibi ile Elit Sporcularda Bakış Karakteristikleri Analizi: Pilot Çalışma
(IEEE, 2014)
Eye movements are essential for natural vision. Eye tracking technology is being used in research in many disciplines to examine the differences in the visual attention of experts and novices. Eye tracking research in ...
Investigation of Electrophysiological Features During Mental Workload Paradigm
(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 ...
Yolak Tabanlı Uzaysal İstatistik ile Talamik İnme Sonrası Anatomik Bağlantısallık Değişimlerinin İncelenmesi
(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. ...
Pulse controlled driver safety awareness system: A pilot study
(Institute of Electrical and Electronics Engineers Inc., 2018)
Heart rate monitoring using wrist-type photoplethysmographic (PPG) signals during driving is of vital importance, since a sudden infarct or an asynchronous heart rhythm might cause life threaten consequences. In this work, ...
Zıt mevsim video uyaranlarına karşı ölçülen beyin elektriksel dinamiklerinin sınıflandırılması
(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. ...
Evrişimsel sinir ağları tabanlı MR-MS imgeleri sınıflandırması
(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 ...