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基于隐马尔可夫模型的离子单通道信号恢复与参数估计

[Ion single channel signal restoration and parameters' estimation based on the hidden Markov models].

作者信息

Han X D, Liu X M, Pan H, Tao M, Lin J R

机构信息

Biomedical Engineering Institute of Central China, University of Science and Technology.

出版信息

Zhongguo Yi Liao Qi Xie Za Zhi. 2001 Nov;25(6):311-5, 346.

Abstract

The single ion channel signal is stochastic ionic current on the order of 1 pA recorded by patch clamp. Because the weakness of the signal, the background noise always dominates in the recordings, the threshold detector traditionally used in patch clamp to denoise and restore the channel signal can't work satisfactorily. This problem was analyzed mathematically, and a signal restoring and parameters estimating scheme called HMM algorithm was studied. The algorithm has been validated by simulation and the results suggest it performs effectively in the situation of low signal to noise ratio where the threshold detector fails completely.

摘要

单离子通道信号是通过膜片钳记录的约1皮安量级的随机离子电流。由于信号微弱,记录中背景噪声总是占主导,传统上用于膜片钳去噪和恢复通道信号的阈值检测器无法令人满意地工作。对该问题进行了数学分析,并研究了一种称为隐马尔可夫模型(HMM)算法的信号恢复和参数估计方案。该算法已通过仿真验证,结果表明在阈值检测器完全失效的低信噪比情况下,它能有效发挥作用。

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