Title: Αναγνώριση μη γραμμικού μοντέλου για την καρδιαγγειακή ρύθμιση
Abstract:This thesis presents the method of identification of nonlinear dynamic system of cardiovascular regulation. Specifically , this method focuses on the identification of the Heart Rate Baroreflex (or Ba...This thesis presents the method of identification of nonlinear dynamic system of cardiovascular regulation. Specifically , this method focuses on the identification of the Heart Rate Baroreflex (or Baroreceptor Reflex ) mechanism by observation of the arterial blood pressure which is the input and heart rate which is the output of the system. This model is based on the inherent characteristics of the autonomic nervous system, so we develop an adaptive neuro- fuzzy inference system (ANFIS) to represent them.
This method allows us to incorporate the physiological functions of our nervous system, such as sympathetic and parasympathetic nerves, through the selection of appropriate membership functions , which reflect accurately the behavior of these nerves for the adaptive neuro- fuzzy system .
The results agree with the natural characteristics and physiological understanding of the cardiovascular regulatory system, such as delay in the parasympathetic function, durability in the function of sympathetic nerves and the correlation between the heart rate and the arterial blood pressure signals.
Proper assessment of Heart Rate Baroreflex mechanism allows clinicians to have more reliable information for their patients.Read More
Publication Year: 2013
Publication Date: 2013-12-13
Language: en
Type: dissertation
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