Linked Life Data

19185947

Source:http://linkedlifedata.com/resource/pubmed/id/19185947

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PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2009-3-10
pubmed:abstractText
New portable electrocardiogram (ECG) measurement systems are emerging into market. Some use nonstandard bipolar electrode montage and sometimes very small interelectrode distances to improve the usability of the system. Modeling could provide a straightforward method to test new electrode systems. The aim of this study was to assess whether modeling the electrodes' measuring sensitivity with lead field method can provide a simple tool for testing a number of new electrode locations. We evaluated whether the actual ECG signal strength can be estimated by lead fields with two realistic 3D finite difference method (FDM) thorax models. We compared the modeling results to clinical body surface potential map (BSPM) data from 236 normal patients and studied 117 unipolar and 42 bipolar leads. In the case of unipolar electrodes the modeled measuring sensitivities correlated well with the clinical data (r=0.86, N=117, p<0.05). In the case of bipolar electrodes the correlation was moderate (r=0.62 between Model 1 and clinical data, r=0.71 between Model 2 and clinical data, N=42 and p<0.05 for both). Based on this we can conclude that lead field analysis based on realistic thorax models provides a good initial prediction for designing new electrode montages and measurement systems.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1872-7565
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
94
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
161-7
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Estimating the measuring sensitivity of unipolar and bipolar ECG with lead field method and FDM models.
pubmed:affiliation
Department of Biomedical Engineering, Tampere University of Technology, P.O. Box 692, 33101 Tampere, Finland. merja.puurtinen@tut.fi
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't