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2008 International Conference on BioMedical Engineering and Informatics
Microelectrode Signals Segmentation Using Stationary Wavelet Transform
May 27-May 30
ISBN: 978-0-7695-3118-2
We present a methodology for the automatic segmentation of extracellular microelectrode recordings (MER) based on stationary wavelet transform and modified F test which identify segments with equal time - frequency behavior. The method was tested using synthetic signals and then applied to real MER signals, achieving artifact removal and showing a superior performance than segmentation based on time representation.
Index Terms:
stationary wavelet transform, MER, segmentation
Citation:
Cristian Guarnizo, Alvaro Orozco, German Castellanos, "Microelectrode Signals Segmentation Using Stationary Wavelet Transform," bmei, vol. 2, pp.450-454, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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