Mühendislik Fakültesi / Faculty of Engineering

Permanent URI for this collectionhttps://hdl.handle.net/11727/1401

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2015 - 20184

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Author: search.filters.author.Erogul, Osmansearch.filters.applied.f.language: search.filters.language.tur

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    A Medical Waste Management Model for Public Private Partnership Hospitals
    (2015) Kocak, Onur; Kurtuldu, Huseyin; Akpek, Ali; Kocoglu, Arif; Erogul, Osman; JMC-5224-2023
    Today, with developing technologies and expanding health care system, medical waste has reached a fairly large volume. Particularly, the extensive use of disposable medical devices and supplies are among the factors that increase the production of medical waste. Monitoring the processes involving the separation, temporary storage, disposal, and transfer of medical waste is critical in terms of the environment and human health. In this study, the implementation of medical waste collection, separation and classification processes were surveyed in new city hospitals constructed with public-private partnership. The standards for temporarily holding wastes were also discussed. Furthermore, the cost analysis required for the handling and disposal of medical waste was provided. By means of studying the medical waste disposal methods, few suggestions regarding the most appropriate methods and models of offset technology investments for the city hospitals were proposed.
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    City Hospitals Model in Biomedical Calibration Service
    (2015) Kocak, Onur; Budak, Erdem I.; Beytar, Faruk; Ozgode, Busra; Coruh, Baris; Kocoglu, Arif; Erogul, Osman
    Clinical engineering comprise of management of medical technology, medical device maintenance, repair, and calibration which they are bought according to capacity of health institution. In this study, entirely using principles have been given about medical device maintenance, repair, and calibration. A model has been designed which is biomedical calibration production service to new vast city hospitals. The hospitals have high bed capacity and because of that there are more different types of medical devices in their inventory. According to the model has been depicted about separating medical devices too. Besides, process planning has been materialized in biomedical calibration. A new work flow model has been suggested result of evaluating both of calibration and preventive maintenance. Moreover in this study mentioned about laboratory accreditation to international traceability need. Furthermore an offset investment model has been examined to medical device calibrators which they will have bought city hospitals. Urgent actions have detected for all consider authority to the investment model success.
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    Comparison of Non - Parametric PSD Detection Methods in the Anaylsis of EEG Signals in Sleep Apnea
    (2015) Kocak, Onur; Beytar, Faruk; Firat, Hikmet; Telatar, Ziya; Erogul, Osman
    Sleep apnea is characterized by complete cessation of airflowin the mouth and nose for at least 10 seconds and it is a disease that causes significant disruption of sleep patterns. In the absence of treatment, it can lead to serious health problems such as heart attack and stroke. Polysomnography is the gold standard examination methods used in the diagnosis of the disease. In this study, EEG signals obtained from the polysomnography recording are divided into sub-bands and their epochs in pre apnea, intra apnea and post apnea were analyzed. Non-parametric power spectral density (PSD) detection methods (Periodogram, Welch and Multi Taper) applied to the EEG signals were compared.
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    Segmentation of Live and Dead Cells in Tissue Scaffolds
    (2018) Uyar, Tansel; Erdamar, Aykut; Aksahin, Mehmet F.; Gumusderelioglu, Menemse; Irmak, Gulseren; Erogul, Osman; U-7861-2018
    Image processing techniques are frequently used for extracting quantitative information (cell area, cell size, cell counting, etc.) from different types of microscopic images. Image analysis in the field of cell biology and tissue engineering is time consuming, and requires personal expertise. In addition, evaluation of the results may be subjective. Therefore, computerbased learning / vision-based applications have been developed rapidly in recent years. In this study, images of the viable pre-osteoblastic mouse MC3T3-E1 cells in tissue scaffolds, which was captured from a bone tissue regeneration study, were analyzed by using image processing techniques. Tissue scaffolds were bioprinted from alginate and alginate-hydroxyapatite polymers. Confocal Laser Scanning Microscope images of the tissue scaffolds were processed in the study. Percentages of live and dead cell area in the scaffolds were determined by using image processing techniques at two different time points of the culture.