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Numerical model of deep venous thrombosis detection using venous occlusion strain gauge plethysmography

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Turner, IC, McNally, MA, O'Connell, BM, Cooke, EA, Kernohan, George and Mollan, RAB (2000) Numerical model of deep venous thrombosis detection using venous occlusion strain gauge plethysmography. Medical and Biological Engineering and Computing, 38 (3). pp. 348-355. [Journal article]

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URL: http://eprints.ulster.ac.uk/1274/1/index.html

DOI: 10.1007/BF02347057

Abstract

Strain gauge plethysmography (SGP) is a non-invasive method used in the detection of deep venous thrombosis (DVT). The technique is based on the measurement of calf volume changes in response to venous occlusion by a thigh cuff, the volume changes reflecting the rates of arterial inflow and venous outflow A numerical model of the blood circulation within the limb and the response of this to a SGP test has been derived, based on treating the different parts of the circulatory system in the leg as resistance and capacitance elements. The simulation results were compared with clinical studies and support the ability of SGP to defect nonocclusive clots of more than 50-60% of the lumen, as well detecting calf vein occlusion. The non-linear behaviour of the venous compliance with intra-luminal pressure appears to be a particularly important factor within the model. In addition, increases in venous tone due to post-operative venospasm were shown to be a potential source of false positive results.

Item Type:Journal article
Faculties and Schools:Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Nursing
Research Institutes and Groups:Institute of Nursing and Health Research
Institute of Nursing and Health Research > Managing Chronic Illness
ID Code:1274
Deposited By:Professor George Kernohan
Deposited On:27 Jan 2010 12:57
Last Modified:23 Jul 2012 14:52

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