Affiliations: Department of Applied Electronics, Kaunas University of Technology, Studentų 50-327, 51368 Kaunas, Lithuania | Department of Ophthalmology, Institute for Biomedical Research of Kaunas University of Medicine, Eivenių 4, 50009 Kaunas, Lithuania | Biomedical Engineering Institute, Kaunas University of Technology, Studentų 65, 51369 Kaunas, Lithuania, e-mail: maciul@ktu.lt; apaun@medi.lt; valerijus.barzdziukas@kmu.lt; loresa@takas.lt; buteikiene@gmail.com; viktorija.puziene@gmail.com
Abstract: Digital signal processing is one of the most powerful technologies, developed by achievements in science and electronics engineering. Achievements of this technology significantly influenced communications, medicine technique, radiolocation and other. Digital signal processors are usually used for effective solution of digital signal processing problems class. Today digital signal processors are widely used practically in all fields, in which information processing in real-time is needed. Creation of diagnostic medicine systems is one of perspective fields using digital signal processors. The aim of this work was to create digital mathematical model of blood circulation analysis system using digital signal processing instead of analogical nodes of device. In first stage – work algorithm of blood circulation analysis system and mathematical model of blood circulation analysis system in Matlab–Simulink environment was created. In second stage – mathematical model was tested experimentally. Mathematically imitated Doppler signal was sent to tissue and was reflected. The signal was processed in digitally, blood flow direction was marked and blood speed was evaluated. Experimentation was done with real signals that were recorded while investigating patients in eye clinics. Gained results confirmed adequacy of created mathematical model to real analogical blood circulation analysis system (Lizi et al., 2003).
Keywords: ultrasound, digital signal processing, ophthalmology, Doppler, eye vascular system, blood flow, digital spectral analysis
Journal: Informatica, vol. 20, no. 4, pp. 539-554, 2009
