Yazar "Ulukaya S." seçeneğine göre listele

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    An automated lung sound preprocessing and classification system based onspectral analysis methods
    (Springer Verlag, 2018) Serbes G.; Ulukaya S.; Kahya Y.P.
    In this work, respiratory sounds are classified into four classes in the presence of various noises (talking, coughing, motion artefacts, heart and intestinal sounds) using support vector machine classifier with radial basis function kernel. The four classes can be listed as normal, wheeze, crackle and crackle plus wheeze. Crackle and wheeze adventitious sounds have opposite behavior in the time-frequency domain. In order to better represent and resolve the discriminative characteristics of adventitious sounds, non-linear novel spectral feature extraction algorithms are proposed to be employed in four class classification problem. The proposed algorithm, which has achieved 49.86% accuracy on a very challenging and rich dataset, is a promising tool to be used as preprocessor in lung disease decision support systems. © Springer Nature Singapore Pte Ltd. 2018.
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    The Effect of Phantom Sensation on the Autocorrelation of Gait in Amputation
    (Institute of Electrical and Electronics Engineers Inc., 2023) Kurt I.; Ulukaya S.; Selcuk H.; Aydin N.S.; Salar S.; Keklicek H.
    Amputation affects the individual's entire life with a long rehabilitation and adaptation process. Phantom sensation is the sensing of the presence/position of the limb that existed before but subsequently lost its function. Our research aims to investigate the effect of phantom limb sensation on the autocorrelation of gait in individuals with transtibial amputation. In this context, autocorrelation function (ACF), rescaled range analysis (RRA), and power spectrum density (PSD) evaluations are employed to analyze the acceleration data of gait from the vertical plane. Subjects with unilateral trans-tibial amputation and prostheses were involved in the work. As a result, the gait profile of individuals with phantom sensation for approximately 512 steps on a non-perturbed ground is similar to healthy individuals by the results obtained from all three methods. This shows us that phantom sensation can be a functional part of gait and is a supporting factor for amputees in the adaptation process. © 2023 IEEE.