基于自适应滤波器组的MER信号特征提取

G. Castellanos-Domínguez, A. Orozco-Gutierrez, E. G. Suarez
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引用次数: 9

摘要

提出了一种基于自适应滤波器组的脑区自动识别特征提取方法。所提出的滤波器组采用Teager算法进行能量计算,能更准确地跟踪参数的变化。自适应变化滤波器采用自动阈值选择。将分类结果与固定滤波器组进行了比较,取得了较好的分类效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feature Extraction for MER Signals Using Adaptive Filter Banks
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.
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