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Malek Mohammadi, Mahsa | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 41871 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Zahedi, Edmond
  7. Abstract:
  8. Cardiovascular (CV) system is very similar to a wireless communication system in which a common input signal from the heart is fed into different arterial channels throughout different body parts. By putting multiple sensors on different peripheral body sites effects of this circulation from the heart can be recorded and be used as inputs for different multi channel blind system identification (BSI) methods for estimation of arterial channel dynamics. This Thesis is defined in order to investigate different BSI methods capability in CV characterization. To achieve this goal photoplethysmogram signals has been used as primary sensory recorded effect of heart function at three different peripheral sites which are both right and left index fingers and left index toe. At first a finite impulse response (FIR) model has been used to represent CV channels, after that the Laguerre Model based BSI has been developed for the CV identification and finally the transmission line model has been used for this aim. There are 30 subjects (17 men and 13 women) in this study and all of them are healthy, non-smoker, young adults aged between 21 and 30. After using three different methods for CV characterization it turns out that the transmission line methods which is based on physiological understandings about CV system is the most probable one for identification of arterial channels’ dynamics
  9. Keywords:
  10. Photoplethysmography ; Blind Sources Separation (BSS) ; Vasculer Charactrization

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