Software filter for detecting spikes superimposed on a fluctuating baseline.

F Marion-Poll; T R Tobin

doi:10.1016/0165-0270(91)90015-r

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Software filter for detecting spikes superimposed on a fluctuating baseline.

F Marion-Poll·T R Tobin

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Abstract

We describe and evaluate a software procedure for detecting and discriminating action potentials superimposed on a fluctuating DC baseline. Using an algorithm implemented in Fortran and Assembly language, spikes are detected by comparing the low-pass filtered first derivative of the signal with a preset threshold constant. This detection algorithm efficiently removes the DC baseline fluctuations usually encountered in sensory receptor recordings. It can function in real-time depending on the specific hardware configuration and program implementation. This approach enables the user to acquire direct DC-amplified signals, minimizing filter distortions of the action potential waveform.

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Action Potentials Algorithms Animals Electrophysiology Lepidoptera Neurons Pheromones Sensory Receptor Cells Smell Software Journal Article Research Support, U.S. Gov't, P.H.S.

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F Marion-Poll, T R Tobin. 1991. Software filter for detecting spikes superimposed on a fluctuating baseline.. https://doi.org/10.1016/0165-0270(91)90015-r

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