DocumentCode
1938662
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
Volume
2
fYear
2008
fDate
27-30 May 2008
Firstpage
450
Lastpage
454
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;
fLanguage
English
Publisher
ieee
Conference_Titel
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location
Sanya
Print_ISBN
978-0-7695-3118-2
Type
conf
DOI
10.1109/BMEI.2008.363
Filename
4549213
Link To Document