Yazar "Ozbay Y." seçeneğine göre listele

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    Classification of dementia with ANN using multiple variable [Çoklu De?işken Kullanarak YSA Ile Demans Siniflandirilmasi]
    (Institute of Electrical and Electronics Engineers Inc., 2015) Ozic M.U.; Ozbay Y.; Ekmekci A.H.
    Dementia is a stage that identifies all of the symptoms that led to the weakening of multiple cognitive functions. It is usually expressed as 'bunama' among people. Dementia is not a disease itself is known as a transition period that defines the initial stages of many diseases. Proportional change in mental function of many variables that influence causes our body causing this stage, textural and volume losses which may occur in the brain, the person may be counted as demographic and clinical variables. Prediction of disease with a combination of variables is one of the popular sizes in recent topics in the literature. In this study received the demented patients from Open Access Series of Imaging Studies (OASIS) database structural magnetic resonance (MR) imaging features and use in combination with the demographic data of the patients was investigated in artificial neural networks classification performance. © 2015 IEEE.
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    Detection of tumor with Otsu-PSO method on brain MR image [Beyin mr görüntüsünde otsu-pso yöntemi ile tümör tespiti]
    (IEEE Computer Society, 2014) Ozic M.U.; Ozbay Y.; Baykan O.K.
    Multiple image thresholding is a popular method used to separate homogeneous subsets of gray level images. To find the optimum threshold in the image in the literature is still a research topic. Many image thresholding method uses the histogram of the image. In this study, the objective function of Otsu method which is a statistical process, Particle Swarm Optimization with an intuitive algorithm (PSO) by maximizing, the optimal threshold values on a medical image were studied to find. The values obtained were tested with a standard test image and brain magnetic resonance (MR) image exposed on the tumor region in segmentation, Otsu-PSO method performance was monitored. © 2014 IEEE.
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    The evaluation of the muscle fatigue using frequency features in the cervical region [Servikal bölgede frekans özellikleri kullanarak kas yorgunlu?u de?erlendirilmesi]
    (IEEE Computer Society, 2014) Ozmen G.; Ozbay Y.; Ekmekci A.H.
    Surface electromyography is a method which is for the evaluation of the electrical activity of superficial muscles. Moreover, muscle fatigue can also be detected using surface electromyography. In this study, on 20 volunteers, the muscle fatigue in cervical region was examined using surface electromyogram signals obtained from the trapezius and sternocleidomastoid muscle. Median frequency, mean frequency and mode frequency values were calculated by Welch method to investigate the muscle fatigue. When the Trapezius and sternocleidomastoid muscles are gone from study status to fatigue status the frequency parameters have shifted towards low frequencies. In practice, the median and mean frequency values are reliable parameters for muscle fatigue. According to the results; while the muscle fatigue was observed in 27 records for the median frequency, it was occurred in 22 records for the average frequency. © 2014 IEEE.