Análisis de señales de presión y diámetro arterial en base a geometría fractal

Arterial system dynamic approach necessarily implies the analysis of the interaction between the blood flow and the arterial wall. More precisely, the afore-mentioned relationship is mediated by endothelial cells intervention. Biological systems behavior is controlled by nonlinear reactions, and sho...

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Autor principal: Cymberknop, L.J
Otros Autores: Legnani, W., Pessana, F.M, Armentano, R.L
Formato: Acta de conferencia Capítulo de libro
Lenguaje:Español
Publicado: 2013
Acceso en línea:Registro en Scopus
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100 1 |a Cymberknop, L.J. 
245 1 0 |a Análisis de señales de presión y diámetro arterial en base a geometría fractal 
260 |c 2013 
270 1 0 |m Cymberknop, L.J.; Dpto. de Electrónica, Fac. Regional Buenos Aires, Univ. Tecnológica Nacional, Buenos Aires, Argentina; email: ljcymber@electron.frba.utn.edu.ar 
506 |2 openaire  |e Política editorial 
504 |a Pessana, F., Armentano, R.L., Bía S, D., Zócalo, Y., Cabrera Fischer, E., Endothelium-dependent mechanical effects on the beat to beat energy dissipation in the arterial wall (2007) Rev. Brasileira de Engenharia Biomed., 25, pp. 5-13 
504 |a Bassingthwaighte, J.B., Leibovitch, L.S., West, B.J., (1994) Fractal Physiology, , Oxford University Press 
504 |a Scott, A., (2007) The Nonlinear Universe, , Springer-Verlag Berlin Heidelberg 
504 |a Losa, G.A., Merlini, D., Nonnenmacher, T.F., Weibel, E.R., (2005) Fractals in Biology and Medicine, , Birkhäuser Verlag 
504 |a Falconer, K., (1990) Fractal Geometry: Mathematical Foundations and Applications, , Wiley, New York 
504 |a Barnsley, M.F., (1983) Fractals Everywhere, , 2ed, New York. Academic Press Professional 
504 |a Wlodzimierz, K., From conformons to human brains: An informal overview of non linear dynamics and its applications in biomedicine (2007) Nonlin. Biomed. Phys., 1, p. 5 
504 |a Mandelbrot, B., (1983) The Fractal Geometry of Nature, , Freeman, New York 
504 |a Raghavendra, B.S., Narayana, D., Computing Fractal Dimension of signals using Multiresolution box counting method (2010) Journal of Math. Sciences, 6, p. 1 
504 |a Higuchi, T., Approach to an irregular time series on the basis of the fractal theory (1988) Physica D., 31, pp. 277-283 
504 |a Truong, Q., Masahiro, N., Recognizing brain activities by functional near-infrared spectroscope signal analysis (2008) Nonlin. Biomed. Physics, 2, p. 3 
504 |a Radunovic, D.P., (2009) Wavelets, from Math to Practice, , Academic Mind, Belgrade, Serbia, Springer-Verlag, Berlin Heidelberg, Germany 
504 |a Meyer, Y., (1993) Wavelets, Algorithms and Applications, , Society for Industrial and Applied Mathematics, Philadelphia 
504 |a Mallat, S., (1999) A Wavelet Tour to Signal Processing, , Academic Press 
504 |a Addison, P.S., (2002) The Illustrated Wavelet Transform Handbook, , Taylor & Francis 
504 |a Cabrera, F.E.I., Armentano, R.L., Pessana, F.M., Graf, S., Romero, L., Christen, A.I., Simon, A., Levenson, J., Endothelium-dependent arterial wall tone elasticity modulated by blood viscosity (2002) American Journal of Physiology - Heart and Circulatory Physiology, 282 (2), pp. H389-H394 
504 |a Guide for the Care and Use of Laboratory Animals NIH Publication No 86-23, , National Institutes of Health, revisited 1985A4 - SKAN AG; Materialise NV; Bavarian Minist. Econ., Aff., Infrastruct., Transp. Technol.; Bavarian Bureau for International Business Relations GmbH; AKUD - Med Pharm GmbH 
520 3 |a Arterial system dynamic approach necessarily implies the analysis of the interaction between the blood flow and the arterial wall. More precisely, the afore-mentioned relationship is mediated by endothelial cells intervention. Biological systems behavior is controlled by nonlinear reactions, and should be evaluated by means of representative methods, such as fractal geometry. In the present study, endothelial response related signals (arterial pressure and diameter) processing is proposed, by applying fractal characterization techniques, for different mean blood flow regimes and in presence and absence of endothelial tissue. © 2013 Springer.  |l eng 
593 |a Dpto. de Electrónica, Fac. Regional Buenos Aires, Univ. Tecnológica Nacional, Buenos Aires, Argentina 
593 |a Instituto de Cálculo, Universidad de Buenos Aires, Buenos Aires, Argentina 
593 |a Facultad de Ingeniería Y Ciencias Exactas Y Naturales, Universidad Favaloro, Buenos Aires, Argentina 
690 1 0 |a FRACTAL DIMENSION 
690 1 0 |a FRACTALITY IN PRESSURE SIGNALS 
690 1 0 |a SELF-SIMILAR SIGNALS 
690 1 0 |a SELF-SIMILARITY 
690 1 0 |a WAVELET TRANSFORM MODULUS MAXIMA 
690 1 0 |a ARTERIAL PRESSURES 
690 1 0 |a ENDOTHELIAL TISSUES 
690 1 0 |a FRACTAL CHARACTERIZATION 
690 1 0 |a NONLINEAR REACTION 
690 1 0 |a PRESSURE SIGNAL 
690 1 0 |a SELF-SIMILAR 
690 1 0 |a SELF-SIMILARITIES 
690 1 0 |a WAVELET TRANSFORM MODULUS MAXIMA 
690 1 0 |a ENDOTHELIAL CELLS 
690 1 0 |a FRACTAL DIMENSION 
690 1 0 |a GEOMECHANICS 
690 1 0 |a HEMODYNAMICS 
690 1 0 |a TISSUE 
690 1 0 |a BIOMEDICAL ENGINEERING 
700 1 |a Legnani, W. 
700 1 |a Pessana, F.M. 
700 1 |a Armentano, R.L. 
711 2 |c Habana  |d 16 May 2011 through 21 May 2011  |g Código de la conferencia: 95880 
773 0 |d 2013  |g v. 33 IFMBE  |h pp. 1162-1165  |p IFMBE Proc.  |n IFMBE Proceedings  |x 16800737  |z 9783642211973  |t 5th Latin American Congress on Biomedical Engineering, CLAIB 2011 
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