Abstract
Transitions between distinct kinetic states of an ion channel are described by a Markov process. Hidden Markov models (HMM) have been successfully applied in the analysis of single ion channel recordings with a small signal-to-noise ratio. However, we have recently shown that the anti-aliasing low-pass filter misleads parameter estimation. Here, we show for the case of a Na+ channel recording that the standard HMM do neither allow parameter estimation nor a correct identification of the gating scheme. In particular, the number of closed and open states is determined incorrectly, whereas a modified HMM considering the anti-aliasing filter (moving-average filtered HMM) is able to reproduce the characteristic properties of the time series and to perform gating scheme identification.
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Received: 11 February 1999 / Revised version: 18 June 1999 / Accepted: 21 June 1999
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Michalek, S., Lerche, H., Wagner, M. et al. On identification of Na+ channel gating schemes using moving-average filtered hidden Markov models. Eur Biophys J 28, 605–609 (1999). https://doi.org/10.1007/s002490050243
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DOI: https://doi.org/10.1007/s002490050243