Title :
An EM Algorithm for Ion-Channel Current Estimation
Author :
Roberts, William J.J. ; Ephraim, Yariv
Author_Institution :
Atlantic Coast Technol., Inc., Silver Spring
Abstract :
Parameter estimation of a continuous-time Markov chain observed through a discrete-time memoryless channel is studied. An expectation-maximization (EM) algorithm for maximum likelihood estimation of the parameter of this hidden Markov process is developed and applied to a simple example of modeling ion-channel currents in living cell membranes. The approach follows that of Asmussen, Nerman and Olsson, and Ryden, for EM estimation of an underlying continuous-time Markov chain.
Keywords :
bioelectric phenomena; biomembrane transport; continuous time systems; expectation-maximisation algorithm; hidden Markov models; parameter estimation; physiological models; EM algorithm; continuous-time Markov chain; discrete-time memoryless channel; expectation-maximization algorithm; hidden Markov process; ion-channel current estimation; living cell membranes; parameter estimation; Biomembranes; Cells (biology); Eigenvalues and eigenfunctions; Gaussian channels; Hidden Markov models; Maximum likelihood estimation; Memoryless systems; Parameter estimation; Sampling methods; Telegraphy; Ion-channel; Markov modulated process;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2007.906743
