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Öğe Echocardiographic associates of impaired sleep quality in patients with anxiety and depression(Oxford Univ Press, 2024) Öztürk, H. M.; Çiftçi, O.; İnanç, I. H.; Çilingiroğlu, M.; Öztürk, S.[Abstract No tAvailable]Öğe Attention deficit/hyperactivity disorder in adults with multiple sclerosis(Sage Publications Ltd, 2016) Alpua, Murat; Turkel, Yakup; Güneş, Nalan; Oğuztürk, Ömer; Dağ, Ersel; Yoldaş, Tahir K.…Öğe Positive schizotypy associated negative facial emotion recognition and neurocognitive deficits(Elsevier Science Bv, 2014) Canli, D.; Rezaki, H. Ozdemir; Kocak, O. M.…Öğe The role of fibroblast growth factor antisense in modulation of affective behaviour(Elsevier Science Bv, 2013) Eren-Kocak, E.; Yilmaz, M.; Basar, K.; Ayhan, Y.; Ozdemir, H.; Sen, Z. D.…Öğe Tenses can have different effects on declarative processes(Elsevier Science Bv, 2009) Koçak, O. M.; Yüksel, S.; Yilmaz, A.; Eren-Kocak, E.; Sayar, K.…Öğe A video based eye detection system for bipolar disorder diagnosis(2012) Akıncı, Gökay; Polat, Ediz; Koçak, Orhan MuratIn this study, a video-based pupil detection system and neuropsychological tests for the system are developed for diagnosis of neuropsychiatric disorders. An Active Contour Snake model is proposed to extract the position (x,y) and radius (r) information of pupils in video sequences. The test in this research is applied to two different groups, namely; bipolar disorder group and control (nonbipolar) group. In order to conduct the test application, a number of selected words are shown to the people on a computer screen. While they are reading these words, the pupil detection system is used to determine the coordinates of the screen where the eye looking at and how long it takes to look at these words simultaneously. This information acquired from these tests is used as a feature vector in Support Vector Machines (SVM) for classifying the bipolar disorder and control groups. © 2012 IEEE.Öğe Neuropsychiatric disorders classification using a video based pupil detection system(2012) Akıncı, Gökay; Polat, Ediz; Koçak, Orhan MuratEye tracking systems have become increasingly popular in computer vision applications. In this study, a video-based pupil detection system and neuropsychological tests for the system are developed for diagnosing of neuropsychiatric disorders. An Active Contour Snake model with ellipse fitting algorithm is proposed to extract the position (x, y) and radius (r) information of pupils in video sequences. The neuropsychological tests in this research are applied to three different groups, namely; bipolar disorder group, control group and schizophrenia group. In order to conduct the neuropsychological tests, a number of selected words are shown to the people on a computer screen. The pupil detection system is used to determine the duration and the coordinates of the screen where the eye looking at while reading the test words in real time. The information acquired from the tests is used as a feature vector in Support Vector Machines (SVM) for classifying the neuropsychiatric disorder (bipolar) and normal (control) groups. The information acquired from schizophrenia group is also presented for the same tests. © 2012 IEEE.
