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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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_16800737_v33IFMBE_n_p1162_Cymberknop |
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todo:paper_16800737_v33IFMBE_n_p1162_Cymberknop2023-10-03T16:29:48Z Análisis de señales de presión y diámetro arterial en base a geometría fractal Cymberknop, L.J. Legnani, W. Pessana, F.M. Armentano, R.L. fractal dimension fractality in pressure signals self-similar signals self-similarity wavelet transform modulus maxima Arterial pressures Endothelial tissues Fractal characterization Nonlinear reaction Pressure signal Self-similar Self-similarities Wavelet transform modulus maxima Endothelial cells Fractal dimension Geomechanics Hemodynamics Tissue Biomedical engineering 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. Fil:Legnani, W. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_16800737_v33IFMBE_n_p1162_Cymberknop |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
fractal dimension fractality in pressure signals self-similar signals self-similarity wavelet transform modulus maxima Arterial pressures Endothelial tissues Fractal characterization Nonlinear reaction Pressure signal Self-similar Self-similarities Wavelet transform modulus maxima Endothelial cells Fractal dimension Geomechanics Hemodynamics Tissue Biomedical engineering |
| spellingShingle |
fractal dimension fractality in pressure signals self-similar signals self-similarity wavelet transform modulus maxima Arterial pressures Endothelial tissues Fractal characterization Nonlinear reaction Pressure signal Self-similar Self-similarities Wavelet transform modulus maxima Endothelial cells Fractal dimension Geomechanics Hemodynamics Tissue Biomedical engineering Cymberknop, L.J. Legnani, W. Pessana, F.M. Armentano, R.L. Análisis de señales de presión y diámetro arterial en base a geometría fractal |
| topic_facet |
fractal dimension fractality in pressure signals self-similar signals self-similarity wavelet transform modulus maxima Arterial pressures Endothelial tissues Fractal characterization Nonlinear reaction Pressure signal Self-similar Self-similarities Wavelet transform modulus maxima Endothelial cells Fractal dimension Geomechanics Hemodynamics Tissue Biomedical engineering |
| description |
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. |
| format |
CONF |
| author |
Cymberknop, L.J. Legnani, W. Pessana, F.M. Armentano, R.L. |
| author_facet |
Cymberknop, L.J. Legnani, W. Pessana, F.M. Armentano, R.L. |
| author_sort |
Cymberknop, L.J. |
| title |
Análisis de señales de presión y diámetro arterial en base a geometría fractal |
| title_short |
Análisis de señales de presión y diámetro arterial en base a geometría fractal |
| title_full |
Análisis de señales de presión y diámetro arterial en base a geometría fractal |
| title_fullStr |
Análisis de señales de presión y diámetro arterial en base a geometría fractal |
| title_full_unstemmed |
Análisis de señales de presión y diámetro arterial en base a geometría fractal |
| title_sort |
análisis de señales de presión y diámetro arterial en base a geometría fractal |
| url |
http://hdl.handle.net/20.500.12110/paper_16800737_v33IFMBE_n_p1162_Cymberknop |
| work_keys_str_mv |
AT cymberknoplj analisisdesenalesdepresionydiametroarterialenbaseageometriafractal AT legnaniw analisisdesenalesdepresionydiametroarterialenbaseageometriafractal AT pessanafm analisisdesenalesdepresionydiametroarterialenbaseageometriafractal AT armentanorl analisisdesenalesdepresionydiametroarterialenbaseageometriafractal |
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1807324140919586816 |