Browsing by Author "Kahya, Yasemin."

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  • 0-30V / 5A digital power supply with computer control 
    Sünetci, Önder. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    Most of the electronic circuits require a DC power supply to operate. There are many designs and topologies covering different properties and specifications for DC power supplies. The voltage and current range and accuracy, ...
  • A multi - channel wireless respiratory and heart sounds acquisition and processing system 
    Çınar, Onur Yusuf. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Methods and diagnostic tools used in medical examinations of cardiac and res piratory diseases have not changed significantly since they have been invented. Aus cultation is an advantageous way for physical examination due ...
  • A multi-channel biotelemetry system for the acquisition and processing of respiratory sounds 
    Çiftçi, Rifat Koray. (Thesis (M.S.) - Bogazici University. Institute of Biomedical Engineering, 2001., 2001.)
    Respiratory disorders can be diagnosed by analyzing respiratory sounds produced during breathing. Main tool for physicians to analyze respiratory sounds is stethoscope. Developing a system capable of acquiring and ...
  • A new generation embedded systems design for robocup SSL robots 
    Turan, Günay. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2018., 2018.)
    RoboCup Small Size League (SSL) is one of the most competitive divisions in the RoboCup where international universities compete with their state of the art robotic hardware and software designs. In the SSL, teams build ...
  • Airflow estimation from respiratory sounds 
    Yıldırım, İlhan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    The aim of this study is estimate the respiratory airflow and phases from the respiratory sounds recorded at the chest wall. In order to estimate the absolute airflow curve, time varying autoregressive (TVAR) model coefficients ...
  • An instrument for recording and analysis of heart sounds 
    Güvendi, Gözde. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    According to the data of the WHO, heart diseases are the leading diseases with high level mortality rates. In 2019, 17.9 million individuals died due to CVDs, this number is constituting 32 percent of the death rates. For ...
  • Classification and detection of wheezes in respiratory sounds 
    Şerbetçi, Çağlayan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Analyzing respiratory sounds and detecting anomalies in them with intelligent computer algorithms has opened a new era for auscultation that has 250 years of history. These algorithms can overcome the drawbacks of conventional ...
  • Classification of lung sounds using wavelet-based neural networks 
    Yeğiner, Mete. (Thesis (M.S.) - Bogazici University. Institute of Biomedical Engineering, 2002., 2002.)
    Computer-based systems for diagnosing diseases have been widely used in various areas of medicine in the last decades and similar studies have been performed to parameterize and increase the reliability of lung-sound based ...
  • Design of a PDA-based stethoscope for pulmonary sound parametrization and classification 
    Özdemir, Ömer Faruk. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    Technological developments made in the near past, gave us a chance to analyze respiratory sounds quantitatively. Digitization of respiratory sounds, obviously, was the key in the analysis of respiratory sounds. Although ...
  • Design of a system for diagnosis of lung diseases using pulmonary sounds 
    Kömürcü, Erman. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Auscultation is a common method among physicians to detect adventitious sounds which are mainly wheezes and crackles, and are important indicators of a pathological condition. According to the presence of these adventitious ...
  • EEG source localization in an economic motivation game 
    Kazanç, Mehmet Emin. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2018., 2018.)
    In this study, the correlations between EEG sources in multiple brain areas and the performance feedback in a motivation game were studied. EEG data were collected from 14 (6 male, 8 female) participants with 19 channels ...
  • Modeling and clustering analysis of pulmonary crackles 
    Yeğiner, Mete. (Thesis (Ph.D.)-Bogazici University. Institute of Biomedical Engineering, 2008., 2008.)
    The objective of this study is to perform two complementary analyses of pulmonary crackles, i.e. modeling and clustering, in order to interpret crackles in timefrequency domain and also determine the optimal number of ...
  • Multi-channel k-NN classifications of respiratory sounds 
    Yılmaz, Cemile Aslı. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    Our main interest in this study is to compare two different feature sets derived from respiratory sounds for optimum classification where multi-channel classification algorithm with each channel weighted equally is used. ...
  • Multivariate modeling and diagnostic classification of pulmonary sounds 
    Şen, İpek. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    Computerized pulmonary sounds analysis has become prevalent in the recent decades as it provides means for quantitative and objective evaluation, contrary to the limited and subjective nature of stethoscope auscultation. ...
  • Respiration pattern recognition using dual tri-axis accelerometers 
    Savruk, İbrahim. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    In this study, respiration pattern is extracted using chest movements. Two accelerometers are used to track chest movements. Accelerometers are placed on the right side of the chest and the dorsal as mirror symmetrical not ...
  • Statistical analysis of cognitive signals measured by fNIRS 
    Çifçi, Rifat Koray. (Thesis (Ph.D.)-Bogazici University. Institute of Biomedical Engineering, 2008., 2008.)
    Further standardization in signal processing tools is needed in the area of functional near infrared spectroscopy (fNIRS) before it is recognized as a reliable neuroimaging modality. This thesis study attempts to present ...
  • Time - frequency and time - scale analysis, decomposition and classification of adventitious pulmonary sounds 
    Ulukaya, Sezer. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    Pulmonary diseases a ect the quality of life and disturb the patients throughout their life. Due to some disadvantages of auscultation with a traditional stethoscope, computerized lung sound analysis has become a necessity. ...
  • Time-frequency and time-scale analysis of non-stationary biomedical signals 
    Serbes, Görkem. (Thesis (Ph.D.)-Bogazici University. Institute of Biomedical Engineering, 2014., 2014.)
    Fourier transform (FT), which assumes that the analyzed signal is stationary, is not entirely appropriate to analyze biomedical signals since they are in non-stationary nature. To overcome this drawback, FT can be applied ...
  • Wheeze detection in respiratory sounds via statistical signal modeling 
    Aydöre, Sergül. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    The aim of this study is detection of wheeze and non-wheeze epochs within respiratory sound signals acquired from patients with asthma and COPD. Since a wheeze signal, having a sinusoidal waveform, has a different behavior ...

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