Black-box characterization of soft connective biological tissues

Author

Previdi, F. ; Quagline, V. ; Bittanti, S. ; Contro, R.

Author_Institution

Dipt. di Elettron. & Inf., Politec. di Milano, Milan, Italy

fYear

2001

fDate

4-7 Sept. 2001

Firstpage

2175

Lastpage

2180

Abstract

The present work deals with discrete-time models for the relaxation of soft biological connective tissues. Those are living materials composed of living cells embedded in a mainly organic intercellular substance. Wiener models, consisting of a linear dynamical model followed by a polynomial static function are used for identification of stress relaxation curves, drawn from experiments performed on samples of bovine pericardium. The experimental protocol and results are briefly described. In order to identify the parameters of a Wiener model a simple but effective two-steps iterative algorithm is proposed.

Keywords

biological tissues; biomechanics; cellular biophysics; iterative methods; stochastic processes; stress relaxation; Wiener models; black-box characterization; bovine pericardium; discrete-time models; iterative algorithm; linear dynamical model; living cells; living materials; organic intercellular substance; polynomial static function; soft connective biological tissues; stress relaxation curves; Biological tissues; Bovine; Materials; Polynomials; Strain; Stress; Testing; Identification of nonlinear systems; Relaxation function; Viscoelasticity;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 2001 European

Conference_Location

Porto

Print_ISBN

978-3-9524173-6-2

Type

conf

Filename

7076246