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A nonlinear filter algorithm for the detection of jumps in patch-clamp data.

R Schultze·S Draber
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Abstract

This paper presents a new algorithm for the detection of channel openings and closures from noisy current signals, especially for the correct generation and interpretation of open-time and closed-time histograms. The Hinkley detector is a nonlinear off-line jump detection algorithm from the field of fault detection. Here, an improved version, the higher-order Hinkley detector H.O.H.D., is developed. A general description of the sensitivity of a detector is introduced by the time resolution tres. This allows a comparison of the nonlinear detectors with the standard threshold detectors preceded by a low-pass filter for noise suppression. By means of application to simulated and real data, the performance of the detection algorithms is investigated. The higher-order Hinkley detector gave the best results with respect to correct reconstruction of the event length, to a small amount of missed brief events as well as to the ability to achieve short time resolution without pretending false events, especially in the presence of colored noise.

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AlgorithmsIon Channel GatingIon ChannelsIon TransportKineticsModels, BiologicalJournal ArticleResearch Support, Non-U.S. Gov't

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BibTeXRIS

R Schultze, S Draber. 1993. A nonlinear filter algorithm for the detection of jumps in patch-clamp data.. https://doi.org/10.1007/bf00233050

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