INFERENCES FOR DIAGNOSIS ON THE STATE OF HUMAN ARTERIAL SYSTEM USING ELEMENTS OF FUZZY LOGICAuthor:
NUÑO ALMIRANTEARENA FERNANDO SILVIO.
Year: 2005.
University:
PÚBLICA DE NAVARRA.
Place of defense: DEPARTAMENTO DE AUTOMÁTICA Y COMPUTACIÓN.
Summary: The diseases with loss of arterial elasticity as atherosclerosis and hypertension, are the leading cause of death and disability human, and one of its features is to be asymptomatic during her pregnancy. It raises the importance of having a method to assess the status of the artery walls when using the signal change in arterial diameter (VDA), and detect early signs of such diseases, when it is still possible to modify and food habits life subject. The VDA signal is obtained in a bloodless, to that end, we used an electrode capacitivo- with a sensitivity of 11V/pf- over the area of radial pulse palpation of the wrist, these variations of the signal VDA generate a modulation in frequency (MF) in an oscillating circuit and then this signal is digitized using a converter A / D. It is then demodulated, amplified and presented on a computer. The objectives of the thesis are: 1-To analyze and learn the variables of the 53 curves Variation Arterial diameters (VDA) with Principal Component Analysis and Multiple Regression. 2 - Develop different engines inferences to use elements of fuzzy logic to determine the biological age of arterial system. 3, Analyze and study the diffuse entropías most important literature and apply their properties to the case of our engines inferences. 4, Verify-engine results of inferences to use entropías diffuse and get the best inference engine.
