Title :
Microelectrode Signals Segmentation Using Stationary Wavelet Transform
Author :
Guarnizo, Cristian ; Orozco, Alvaro A. ; Castellanos, German
Author_Institution :
Electr. Eng., Univ. Tecnol. de Pereira, Pereira
Abstract :
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.
Keywords :
biomedical electrodes; medical signal processing; microelectrodes; wavelet transforms; extracellular microelectrode recordings; microelectrode signals segmentation; stationary wavelet transform; Detection algorithms; Discrete wavelet transforms; Filters; Frequency; Microelectrodes; Neurosurgery; Signal generators; Wavelet coefficients; Wavelet domain; Wavelet transforms; MER; segmentation; stationary wavelet transform;
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
DOI :
10.1109/BMEI.2008.363
