Modeling cardiac ion channel conductivity: model fitting via simulation

Author

Maryak, John L. ; Smith, Richard H. ; Winslow, Raimond L.

Author_Institution

Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA

Volume

2

fYear

1998

fDate

13-16 Dec 1998

Firstpage

1587

Abstract

Describes a Markov state model for a cloned potassium channel of the human heart (I_KνLQT1). The parameters of the model are determined by a least-squares fit of predicted vs. measured data. The fitting process is achieved by using the “SPSA” optimizer to sequentially choose trial values of the parameters. At each choice of parameter value, a loss function is computed by simulating the action of the channel at that trial parameter value. When the optimizer has converged, the parameter value represents the best fit

Keywords

Markov processes; bioelectric phenomena; biology computing; biomembrane transport; cardiology; convergence of numerical methods; digital simulation; ionic conductivity; least squares approximations; losses; medical computing; optimisation; physiological models; potassium; K; Markov state model; SPSA optimizer; best fit; cardiac ion channel conductivity modelling; cloned K channel; convergence; human heart; least-squares fit; loss function; measured data; model fitting; model parameter determination; predicted data; simulation; trial parameter values sequential selection; Biomedical computing; Biomembranes; Computational modeling; Conductivity; Heart; Humans; Medical diagnostic imaging; Medical simulation; Predictive models; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference Proceedings, 1998. Winter

Conference_Location

Washington, DC

Print_ISBN

0-7803-5133-9

Type

conf

DOI

10.1109/WSC.1998.746033

Filename

746033