Linked Life Data

19665726

Source:http://linkedlifedata.com/resource/pubmed/id/19665726

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2009-10-26
pubmed:abstractText
Signals generated by biologic systems are characterized by a high degree of nonstationarities and noise. Phase-rectified signal averaging (PRSA) was shown to be superior to conventional methods in detection of periodicities in biologic signals. Bivariate phase-rectified signal averaging (BPRSA) is an extension of the PRSA-method for analysis of interrelationships between 2 synchronously recorded biologic signals. Here, we review the methodology of the technique and demonstrate its performance in simulated data. As application to biologic data, we use BPRSA to analyze synchronously recorded time series of systolic arterial blood pressure, RR intervals, and respiratory activity.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1532-8430
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
42
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
602-6
pubmed:meshHeading
pubmed:articleTitle
Bivariate phase-rectified signal averaging--a novel technique for cross-correlation analysis in noisy nonstationary signals.
pubmed:affiliation
Medizinische Klinik III, Eberhard Karls Universität Tübingen, Tübingen, Germany. axel.bauer@med.uni-tuebingen.de
pubmed:publicationType
Journal Article