Feature Extraction for MER Signals Using Adaptive Filter Banks

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.