Software filter for detecting spikes superimposed on a fluctuating baseline.
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.
Marion-Poll
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F
INRA-CNRS (URA 1190), Laboratoire de Neurobiologie Comparée des Invertébrés, Bures-sur-Yvette, France.
Tobin
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TR
D000200:Action Potentials; D000465:Algorithms; D000818:Animals; D004594:Electrophysiology / Q000295:instrumentation*; D007915:Lepidoptera / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D010675:Pheromones / Q000494:pharmacology; D011984:Sensory Receptor Cells / Q000502:physiology; D012903:Smell / Q000502:physiology; D012984:Software
D010675:Pheromones