Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SISY.2014.6923569 | Intelligent Systems and Informatics |
Keywords | Field | DocType |
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 | Applied mathematics,Mathematical optimization,Experimental data,Curve fitting,Computer science,Control theory,Stiffness,Transfer function,Estimation theory,Model parameter | Conference |
Citations | PageRank | References |
1 | 0.41 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arpad Takacs | 1 | 17 | 4.37 |
| József K. Tar | 2 | 13 | 3.76 |
| Tamás Haidegger | 3 | 93 | 14.86 |
| Imre J. Rudas | 4 | 35 | 14.90 |