Linked Life Data

1279553

Source:http://linkedlifedata.com/resource/pubmed/id/1279553

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11 Pt 2
pubmed:dateCreated
1992-12-16
pubmed:abstractText
Manual slope programming in rate adaptive pacemakers can be time consuming. This may become worse with dual sensor devices. The remedy is to let the pacemaker automatically learn the slopes. Fast learning replaces initial manual slope programming. Daily learning is a continuous process to determine and optimize slopes during daily life. Both methods are known for a QT sensing pacemaker. Fast learning is known for other single sensor devices. The aim of this study was to follow daily learning in a QT and activity dual sensor pacemaker, starting with factory slope settings. Six patients were studied for about 8 weeks. The daily learning algorithm appeared to be effective, showing the desired regulation processes. It took 2-5 weeks to reach full rate response.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0147-8389
pubmed:author
pubmed:issnType
Print
pubmed:volume
15
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1815-20
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
1992
pubmed:articleTitle
Clinical results of automatic slope adaptation in a dual sensor VVIR pacemaker.
pubmed:affiliation
Vitatron Medical B.V., Dieren, The Netherlands.
pubmed:publicationType
Journal Article