Extracellular spike detection from multiple electrode array using novel intelligent filter and ensemble fuzzy decision making.
Journal:
Journal of neuroscience methods
Published Date:
Oct 18, 2014
Abstract
BACKGROUND: The information obtained from signal recorded with extracellular electrodes is essential in many research fields with scientific and clinical applications. These signals are usually considered as a point process and a spike detection method is needed to estimate the time instants of action potentials. In order to do so, several steps are taken but they all depend on the results of the first step, which filters the signals. To alleviate the effect of noise, selecting the filter parameters is very time-consuming. In addition, spike detection algorithms are signal dependent and their performance varies significantly when the data change.