Nonlinear denoising of transient signals with application to event-related potentials

被引：42

作者：

Effern, A

Lehnertz, K

Schreiber, T

Grunwald, T

David, P

Elger, CE

机构：

[1] Univ Bonn, Dept Epileptol, D-53105 Bonn, Germany

[2] Univ Bonn, Inst Radiat & Nucl Phys, D-53115 Bonn, Germany

[3] Univ Gesamthsch Wuppertal, Dept Phys, D-42097 Wuppertal, Germany

来源：

PHYSICA D-NONLINEAR PHENOMENA | 2000年 / 140卷 / 3-4期

关键词：

nonlinear denoising; state space; wavelets; circular embedding;

D O I：

10.1016/S1386-9477(00)00111-9

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We present a new wavelet-based method for the denoising of event-related potentials (ERPs), employing techniques recently developed for the paradigm of deterministic chaotic systems. The denoising scheme has been constructed to be appropriate for short and transient time sequences using circular state space embedding. Its effectiveness was successfully tested on simulated signals as well as on ERPs recorded from within a human brain. The method enables the study of individual ERPs against strong ongoing brain electrical activity. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：257 / 266

页数：10

共 27 条

[1]

[Anonymous], 1969, Electroencephalography and Clinical Neurophysiology

[2] WAVELETS - NEW METHOD OF EVOKED-POTENTIAL ANALYSIS [J].