Time-frequency filtering of MEG signals with matching pursuit

被引：18

作者：

Gratkowski, M

Haueisen, J

Arendt-Nielsen, L

Chen, ACN

Zanow, F

机构：

[1] Univ Jena, Dept Neurol, Biomagnet Ctr, D-07747 Jena, Germany

[2] Aalborg Univ, SMI, DK-9220 Aalborg, Denmark

[3] Eemagine Med Imaging Solut GmbH, D-12489 Berlin, Germany

来源：

JOURNAL OF PHYSIOLOGY-PARIS | 2006年 / 99卷 / 01期

关键词：

magnetoencephalography; signal analysis; matching pursuit; filtering;

D O I：

10.1016/j.jphysparis.2005.06.009

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

Time-frequency signal analysis based on various decomposition techniques is widely used in biomedical applications. Matching Pursuit is a new adaptive approach for time-frequency decomposition of such biomedical signals. Its advantage is that it creates a concise signal approximation with the help of a small set of Gabor atoms chosen iteratively from a large and redundant set. In this paper, the usage of Matching Pursuit for time-frequency filtering of biomagnetic signals is proposed. The technique was validated on artificial signals and its performance was tested for varying signal-to-noise ratios using both simulated and real MEG somatic evoked magnetic field data. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：47 / 57

页数：11

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