DocumentCode :
119918
Title :
Applicability of the Maxwell-Kelvin model in soft tissue parameter estimation
Author :
Takacs, Alexandru ; Tar, Jozsef K. ; Haidegger, Tamas ; Rudas, Imre J.
Author_Institution :
Antal Beczy Center for Intell. Robot., Obuda Univ., Budapest, Hungary
fYear :
2014
fDate :
11-13 Sept. 2014
Firstpage :
115
Lastpage :
119
Abstract :
This paper presents a novel technique for soft tissue model parameter estimation using experimental data. The most commonly used linear mass-spring-damper models are discussed and investigated in details, extended with two more complex, yet significantly more effective modeling approaches. The transfer functions of these models are created, and the analytical response curves are fit to the experimental data provided. The curve fitting procedure is followed by model parameter acquisition such as obtaining of stiffness and damping coefficients of the discussed model.
Keywords :
biological tissues; curve fitting; damping; elasticity; medical robotics; parameter estimation; surgery; transfer functions; Maxwell-Kelvin Model; analytical response curves; curve fitting procedure; damping coefficients; experimental data; linear mass-spring-damper models; model parameter acquisition; soft tissue model parameter estimation; stiffness coefficients; transfer functions; Analytical models; Biological tissues; Computational modeling; Deformable models; Force; Kelvin; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Informatics (SISY), 2014 IEEE 12th International Symposium on
Conference_Location :
Subotica
Type :
conf
DOI :
10.1109/SISY.2014.6923569
Filename :
6923569
Link To Document :
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