4.6 Article

Single trial analysis of event related potentials:: non-linear de-noising with wavelets

期刊

CLINICAL NEUROPHYSIOLOGY
卷 111, 期 12, 页码 2255-2263

出版社

ELSEVIER IRELAND LTD
DOI: 10.1016/S1388-2457(00)00463-6

关键词

event related potentials; single trial analysis; state space reconstruction; wavelets; non-linear de-noising; within-subject statistics

向作者/读者索取更多资源

We present and apply a method for single trial analysis of event related potentials (ERPs) that combines techniques from non-linear time series analysis with the wavelet transform. For this method, convincing results have already been achieved for simulated data as well as for intracranially recorded ERPs (Physica D 140 (2000) 257). However, ERPs are affected by a variety of external and internal experimental parameters, which makes the appropriate configuration of single trial analysis difficult. Thus, several pitfalls may occur in realistic applications. In this paper, we applied the method of non-linear de-noising with wavelets to both intra- and extracranially recorded ERPs, and show examples of how and where this single trial analysis can be used to obtain additional information on dynamic neural processes. (C) 2000 Elsevier Science Ireland Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据