A novel method for analysis of single ion channel signal based on wavelet transform

Authors:
Z. Y. Chen;X. P. Guo;X. L. Zhang;W. J. Cram;Z. W. Li
Affiliations:
Chemistry Department, Huazhong University of Science and Technology, Wuhan 430074, China;Chemistry Department, Huazhong University of Science and Technology, Wuhan 430074, China;School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan 430073, China;China-UK Genetic Engineering and Genomics Joint Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China;Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
Venue:
Computers in Biology and Medicine
Year:
2007

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Abstract

A single ion channel signal was analysed by the power distribution fraction constructed by a discrete wavelet transform. Average opening time and energy distribution of the signal can be obtained directly by this method. The method can also be used when the signal is corrupted by noise. By contrast, the conventional frequency domain analysis method-power spectral density-is less effective. Power distribution fraction will therefore give more useful information in analysis of experimental ion channel signals, principally by giving values of the mean channel opening time. The method may be applied to distinguish different ion channels more efficiently and to find their reactions to drugs.