Title :
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
Abstract :
Describes a Markov state model for a cloned potassium channel of the human heart (IKνLQT1). 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;
Conference_Titel :
Simulation Conference Proceedings, 1998. Winter
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5133-9
DOI :
10.1109/WSC.1998.746033
