A nonlinear lumped parameters model to analyze the dynamics of venous reflux

被引:10
|
作者
Fragomeni, G. [2 ]
Merola, A. [2 ]
Serra, R. [1 ]
de Franciscis, S. [1 ]
Amato, F. [2 ]
机构
[1] Magna Graecia Univ Catanzaro, Campus Univ Germaneto, Dept Expt & Clin Med, I-88100 Catanzaro, Italy
[2] Magna Graecia Univ Catanzaro, Campus Univ Germaneto, Sch Comp & Biomed Engn, I-88100 Catanzaro, Italy
关键词
GENERAL-POPULATION; EDINBURGH VEIN; INSUFFICIENCY;
D O I
10.1109/IEMBS.2008.4649429
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The aim of this work is to formulate a lumped parameters model of the venous tree of the lower limbs in order to study the effects and the possible clinical treatments for Chronic Venous Insufficiency (CVI). CVI is a pathology characterized by an important socio-economic impact due to its relevant prevalence, the costs for its diagnosis and treatment being more frequently widespread among the working population. The planning of haemodynamic surgical operations is critical to treat a pathological pattern of venous blood flow; such planning, in turn, depends on the right analysis of the possible consequences of flow modification. To this regard, the blood flow correction allows to solve the most important venous pathologies, in order to guarantee the restoration of normal blood flow by means of proper modifications of the venous tree. The developed model preserves the geometry of the venous network and considers some non linear resistive and capacitive effects. In fact, the study of the variability of some parameters (i.e. vessel radius) is very important to allow a correct diagnosis of vascular diseases. This variability causes a non linear behaviour of resistance and compliance effects. With the aid of the developed model we evaluate the time profile of blood velocity, flow and pressure in the entire venous network, both in physiological and pathological cases. The obtained results are discussed in comparison with available experimental data.
引用
收藏
页码:1407 / +
页数:2
相关论文
共 50 条
  • [21] Application of nonlinear neural network to analyze the stope structure parameters
    Lai, X.-P.
    Cai, M.-F.
    Zhang, B.-C.
    Meitan Xuebao/Journal of China Coal Society, 2001, 26 (03): : 245 - 248
  • [22] New model of lumped parameters applied to grain hydration
    Coutinho, Monica Ronobo
    dos Santos Conceicao, Wagner Andre
    Omoto, Edilson Sadayuki
    Goncalves Andrade, Cid Marcos
    de Matos Jorge, Luiz Mario
    CIENCIA E TECNOLOGIA DE ALIMENTOS, 2007, 27 (03): : 451 - 455
  • [23] Analyses of the Spurious Oscillations in the Lumped Parameters Line Model
    de Araujo, A. R. J.
    da Silva, R. C.
    Kurokawa, S.
    IEEE LATIN AMERICA TRANSACTIONS, 2015, 13 (07) : 2183 - 2189
  • [24] Hemodynamic and clinical impact of ultrasound-derived venous reflux parameters
    Neglén, P
    Egger, JF
    Olivier, J
    Raju, S
    JOURNAL OF VASCULAR SURGERY, 2004, 40 (02) : 303 - 310
  • [25] Quantification of venous reflux parameters using duplex scanning and air plethysmography
    Yamaki, T.
    Nozaki, M.
    Sakurai, H.
    Takeuchi, M.
    Kano, T.
    Soejima, K.
    PHLEBOLOGY, 2007, 22 (01) : 20 - 28
  • [26] A Nonlinear Lumped Model for Ultrasound Systems Using CMUT Arrays
    Satir, Sarp
    Degertekin, F. Levent
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2015, 62 (10) : 1865 - 1879
  • [27] NONLINEAR LUMPED NETWORK MODEL OF SEMICONDUCTOR DEVICES AND ITS APPLICATION
    KATO, H
    KANI, K
    OHTSUKI, T
    NEC RESEARCH & DEVELOPMENT, 1973, (28): : 28 - 39
  • [28] A novel model to analyze optical nonlinear enhancement of crosstalk
    Qin, T
    Zhang, HY
    Guo, YL
    Zong, L
    Dai, WJ
    CHINESE JOURNAL OF ELECTRONICS, 2001, 10 (04): : 533 - 536
  • [29] A NONLINEAR DYNAMIC LUMPED PARAMETER MODEL FOR REINFORCED MASONRY STRUCTURES
    KARIOTIS, JC
    ELMUSTAPHA, AM
    EWING, RD
    BRICK AND BLOCK MASONRY, VOLS 1-3, 1988, : 728 - 739
  • [30] Advanced nonlinear signal model to analyze photoplethysmogram signals
    Ozaki, Hajime
    Omura, Yasuhisa
    Technology Reports of Kansai University, 2015, (57): : 27 - 39