Modeling cardiac ion channel conductivity: Model fitting via simulation

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

Research output: Contribution to journalConference articlepeer-review


We describe a Markov state model for a cloned potassium channel of the human heart (IKvLQT1). 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.

Original languageEnglish (US)
Pages (from-to)1587-1590
Number of pages4
JournalWinter Simulation Conference Proceedings
StatePublished - Dec 1 1998
EventProceedings of the 1998 Winter Simulation Conference, WSC. Part 1 (of 2) - Washington, DC, USA
Duration: Dec 13 1998Dec 16 1998

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety
  • Applied Mathematics


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