Linked Life Data

12465227

Source:http://linkedlifedata.com/resource/pubmed/id/12465227

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2002-12-5
pubmed:abstractText
The aim of this study was to detect pathological changes of the complex autonomous regulation of ecg, blood pressure and respiration (synchronously recordings of 30 minutes) in patients with cardiac diseases. We investigated the cardiovascular and cardiorespiratory linear and nonlinear interactions in 10 patients with dilative cardiomyopathy (dcm) and in 10 patients after myocardial infarction (mi). We compared results from the classical linear correlation function analysis with results from the mutual information method (transinformation) for analysis of nonlinear and linear interactions. Both methods yield high significant parameters (p < 0.01). Thus, we found both linear and nonlinear interactions with partly different specificity in patients with dcm and mi compared to healthy subjects (ref).
pubmed:language
ger
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0013-5585
pubmed:author
pubmed:issnType
Print
pubmed:volume
47 Suppl 1 Pt 2
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
530-3
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
[Quantitative analysis of cardiovascular interactions in patients with cardiomyopathy and after myocardial infarct].
pubmed:affiliation
Fachbereich für Biomedizintechnik, University of Applied Sciences, Jena, Deutschland. Rico.Schroeder@fh-jena.de
pubmed:publicationType
Journal Article, English Abstract, Research Support, Non-U.S. Gov't