Linked Life Data

20638669

Source:http://linkedlifedata.com/resource/pubmed/id/20638669

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2010-11-2
pubmed:abstractText
Quantitative electrocardiogram (ECG) analysis is a very important tool in cardiovascular and neuroedocrine research. It is useful in clinical trials with human beings, as well as in animals such as rabbits, rats, and mice, for example, in studying knockout models. The species of interest differ in their typical baseline heart rate and therefore in the sampling rate in ECG detection. However, for obvious reasons, there are no available analysis programs adjusted to each species. We demonstrate how to use PhysioToolkit, an open source software developed by Massachusetts Institute of Technology for physiologic signal processing and analysis in humans, with murine ECG signals, with full control over analysis options. The procedure can be transferred on any other species in an analogue way.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1532-8430
pubmed:author
pubmed:copyrightInfo
Copyright © 2010 Elsevier Inc. All rights reserved.
pubmed:issnType
Electronic
pubmed:volume
43
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
701-5
pubmed:meshHeading
pubmed:articleTitle
Analyzing murine electrocardiogram with PhysioToolkit.
pubmed:affiliation
Institute of Neurophysiology, University of Cologne, Cologne, Germany. thomas.galetin@uni-koeln.de
pubmed:publicationType
Journal Article