Adaptive restoration of single ion channel signal under filtering and colored background noise.
- Author:
Xiaodong HAN
1
;
Xinwei HAN
;
Xiangming LIU
;
Jiarui LIN
Author Information
1. First Affiliated Hospital, Zhenzhou University, Zhengzhou 450052.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Ion Channels;
physiology;
Least-Squares Analysis;
Likelihood Functions;
Models, Theoretical;
Noise;
Patch-Clamp Techniques;
methods;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2002;19(3):444-448
- CountryChina
- Language:Chinese
-
Abstract:
In order to overcome the effects of the anti-aliasing filter and the colored background noise, an adaptive algorithm is proposed to estimate the parameters of ion channel kinetics and the background noise, and whereafter the ion channel signal could be restored from the strong noisy patch-clamp recordings. The algorithm cross-couples the recursive expectation-maximization algorithm, which estimates optimally the parameters of hidden Markov model, and the recursive extended least square algorithm, which estimates optimally the characteristics of the background noise. Simulation suggests that this cross-coupling algorithm convergences consistently, and is very robust to the inexact conformation number.
