Dynamic analysis of soft tissues using a state space model

Assimina Pelegri, Baoxiang Shan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Research on the biomechanical behavior of soft tissues has drawn a lot of recent attention due to its application in tumor pathology, rehabilitation, surgery and biomaterial implants. In this study a finite element (FE) model is applied to represent soft tissues and phantoms with complex geometry and heterogeneous material properties. A solid 3D mixed u-p element S8P0 (8-node for displacement and 1-node for internal pressure) is implemented to capture the near-incompressibility inherent in soft tissues. A dynamic analysis of soft tissues' response to excitation is explored in which, the second order differential equation representing the soft tissues in FE necessitates a time-consuming numerical solution procedure. Moreover, the second-order representation is complicated in estimating the tissue mechanical properties by inverse procedure. Thus, a state space (SS) model is used to equivalently represent soft tissues by transforming the second-order differential equation into a system of linear first-order differential equations. The linear and time-invariant SS representation of soft tissues for general dynamic analysis can reduce the computational cost and a provide framework for the "forward" simulation and "inverse" identification of soft tissues.

Original languageEnglish (US)
Title of host publicationProceedings of the ASME Summer Bioengineering Conference, SBC2008
Number of pages2
EditionPART B
StatePublished - 2009
Event10th ASME Summer Bioengineering Conference, SBC2008 - Marco Island, FL, United States
Duration: Jun 25 2008Jun 29 2008

Publication series

NameProceedings of the ASME Summer Bioengineering Conference, SBC2008
NumberPART B


Other10th ASME Summer Bioengineering Conference, SBC2008
Country/TerritoryUnited States
CityMarco Island, FL

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering
  • Biomedical Engineering


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