DocumentCode :
3037515
Title :
Feature Extraction for MER Signals Using Adaptive Filter Banks
Author :
Castellanos-Domínguez, Germán ; Orozco-Gutierrez, A. ; Suarez, E.G.
Author_Institution :
Dept. of Electron. Eng., Univ. Nac. de Colombia, Manizales
fYear :
2008
fDate :
Sept. 30 2008-Oct. 3 2008
Firstpage :
582
Lastpage :
585
Abstract :
A methodology for feature extraction using adaptive filter banks in automatic identification case where the brain zone is presented. Proposed filter banks track in more accurate way any change of parameters using Teager algorithm for energy calculation. Automatic threshold selection is applied for adaptive varying filters. The classification results are compared with fixed filter banks and good results are obtained.
Keywords :
adaptive filters; biomedical electrodes; feature extraction; medical signal processing; signal classification; Teager algorithm; adaptive filter banks; adaptive varying filters; automatic identification; automatic threshold selection; feature extraction; microelectrode recording; Adaptive filters; Automotive engineering; Feature extraction; Filter bank; Frequency; Microelectrodes; Neurosurgery; Signal processing; Surgery; Wavelet analysis; adaptive; filter banks; parkinson; wavelet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08
Conference_Location :
Morelos
Print_ISBN :
978-0-7695-3320-9
Type :
conf
DOI :
10.1109/CERMA.2008.95
Filename :
4641135
Link To Document :
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