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    A clinically feasible kinematic assessment method of upper extremity motor function impairment after stroke
    (Elsevier Sci Ltd, 2016) Ozturk, Ali; Tartar, Ahmet; Huseyinsinoglu, Burcu Ersoz; Ertas, Ahmet H.
    The development of feasible kinematic assessment methods of upper extremity motor function impairment after stroke is clinically extremely important in physiotherapy and rehabilitation engineering. Microsoft Kinect has a potential of a low-cost and compact solution for clinical based assessment of the upper limb motor function after stroke. However, the reliability of Microsoft Kinect in the upper limb motor function assessment has not been well established. Therefore, there is a hesitation in usage of Microsoft Kinect for clinical applications. It is expected that any measurement procedure has the capability to differentiate between pathological and normal performance. On the other hand, the identification of the kinematic metrics that best evaluate impairment of upper-extremity motor function is a key problem of any measurement protocol. Primary objective of our study is, by differentiating pathological performance from the healthy performance and identifying the kinematic metrics that best evaluate the impairment, to demonstrate the robustness/usability of Microsoft Kinect in kinematic analysis of motor performance of stroke patients. We compared the kinematic metrics of the forward reaching movement obtained data recorded from Microsoft Kinect between three stroke patients and two healthy subjects based on the Principal Component Analysis (PCA). In the study, we have defined a new inter-joint coordination index (IJCI) based on PCA to capture inter-joint coordination dynamic of reaching movement in addition to other metrics those have been previously defined and used in literature to quantify upper limb impairment. We observed that the IJCI has significant importance to detect impairment of upper-extremity motor function during a forward reaching task and to discriminate stroke patients from healthy controls. We hope that this paper will promote the acceptance of objective kinematic analysis into routine rehabilitation practices. (C) 2015 Elsevier Ltd. All rights reserved.
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    Ensemble Learning Approaches to Classification of Pulmonary Nodules
    (Ieee, 2016) Tartar, Ahmet; Akan, Aydin
    Lung cancer is one of the primary causes of cancer-related death worldwide. A computer-aided detection (CAD) can help radiologists by offering a second opinion and making the whole process faster at an early level. In this study, we propose a new classification approach for pulmonary nodule detection from CT imagery by using morphological features of nodule patterns. Ensemble learning approaches are used for classification process and overall detection performance is evaluated. Results are compared to similar techniques in the literature by using standard measures. The performance of the proposed system with random forest based on ensemble learning approaches results in an overall accuracy of 98.7 % with a sensitivity of 100 % and specificity of 97.3 % in training data set and an overall accuracy of 80.7 % with a sensitivity of 80.7 % and specificity of 80.6 % in testing dataset.
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    A new quality control method on X-ray radiography units for biomedical technical service applications
    (Ieee, 2015) Tartar, Ahmet; Akan, Aydin
    In the study, a new technical method/protocol is first proposed in the literature for the biomedical technical services. In this context, energy quality control test and focus adjustment test are made for X-ray radiography systems. The method will provide a unique contribution to the application field of the technical services of biomedical and clinical engineering on quality control assessments of radiology equipment.
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    A new Radiation Dose Measurement Approach for X-ray Units on Biomedical Technical Service Applications: A Study of Radiology
    (Ieee, 2015) Tartar, Ahmet; Akan, Aydin
    Recently, the improvement of radiology systems along with the developing technologies has provided an important contribution in the diagnosis and treatment of numerous medical cases. In this study, we propose a new radiation dose measurement approach for patients and radiation workers on X-ray units. The approach is extremely important to correct the shortcomings in this area as well as to provide a gold standard for radiation quality control measurement of X-ray units. The implementation of the approach will allow to the elimination of concerns of patients and radiation workers about radiation. Also it will present the opportunity to work in a safe environment for radiologists and radiation workers.