Arşiv ve Dokümantasyon Merkezi
Dijital Arşivi

Yazar "Kahya, Yasemin." için Biyomedikal Mühendisliği Enstitüsü listeleme

Yazar "Kahya, Yasemin." için Biyomedikal Mühendisliği Enstitüsü listeleme

Sırala: Sıra: Sonuçlar:

  • 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 ...
  • 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 ...
  • 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 ...
  • 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 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 ...