Linked Life Data

11090779

Source:http://linkedlifedata.com/resource/pubmed/id/11090779

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
12
pubmed:dateCreated
2000-12-19
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1388-2457
pubmed:author
pubmed:issnType
Print
pubmed:volume
111
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2255-63
pubmed:dateRevised
2008-9-10
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Single trial analysis of event related potentials: non-linear de-noising with wavelets.
pubmed:affiliation
Department of Epileptology, Sigmund-Freud Strasse 25, D-53105, Bonn, Germany. arndt.effern@meb.uni-bonn.de
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't