rdf:type |
|
lifeskim:mentions |
umls-concept:C0002045,
umls-concept:C0003811,
umls-concept:C0039005,
umls-concept:C0181904,
umls-concept:C0439841,
umls-concept:C0596972,
umls-concept:C0728873,
umls-concept:C1511790,
umls-concept:C1521743,
umls-concept:C1547135,
umls-concept:C1547139,
umls-concept:C1561560,
umls-concept:C1561561,
umls-concept:C1623258,
umls-concept:C1704646,
umls-concept:C1706701,
umls-concept:C1708476
|
pubmed:dateCreated |
2009-12-7
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pubmed:abstractText |
A wearable cardiopulmonary monitoring system, a LifeShirt, was used to acquire continuous electrocardiograms (ECGs) from ambulatory swine. The animals received intracoronary injections of autologous mesenchymal stem cells, and the LifeShirt was used for long-duration ECG monitoring in pre-defined periods post cell infusion. The system used here was developed for measurements from non-human primates and canines; however, we demonstrated that it could be used to non-invasively measure ECGs from swine without creating undue stress or restricting movement. A MATLAB-based analysis algorithm was developed to automatically detect premature ventricular contractions (PVCs) that arose 8-10 hours after cell delivery with spontaneous resolution 2-3 days post-infusion. Template based cross-correlation was used to detect the PVCs and identify regions of consecutive ventricular rhythm. The final algorithm was highly specific and sensitive when tested on records from the MIT-BIH arrhythmia database. The algorithm was subsequently used to automatically identify and quantify PVCs from over 200 hours of ECG data obtained from nine ambulatory swine.
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pubmed:grant |
http://linkedlifedata.com/resource/pubmed/grant/P01 HL078931-01A10003,
http://linkedlifedata.com/resource/pubmed/grant/P01 HL078931-020003,
http://linkedlifedata.com/resource/pubmed/grant/P01 HL078931-030003,
http://linkedlifedata.com/resource/pubmed/grant/P01 HL078931-040003,
http://linkedlifedata.com/resource/pubmed/grant/P01 HL078931-050003,
http://linkedlifedata.com/resource/pubmed/grant/R01 HL071140-01,
http://linkedlifedata.com/resource/pubmed/grant/R01 HL071140-02,
http://linkedlifedata.com/resource/pubmed/grant/R01 HL071140-03,
http://linkedlifedata.com/resource/pubmed/grant/R01 HL071140-04,
http://linkedlifedata.com/resource/pubmed/grant/R01 HL071140-05A1,
http://linkedlifedata.com/resource/pubmed/grant/R01 HL078932-01,
http://linkedlifedata.com/resource/pubmed/grant/R01 HL078932-02,
http://linkedlifedata.com/resource/pubmed/grant/R01 HL078932-03,
http://linkedlifedata.com/resource/pubmed/grant/R01 HL078932-04,
http://linkedlifedata.com/resource/pubmed/grant/T32 HL079995-03
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pubmed:language |
eng
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pubmed:journal |
|
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1557-170X
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pubmed:author |
|
pubmed:issnType |
Print
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pubmed:volume |
2009
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pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
4820-3
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pubmed:dateRevised |
2011-5-9
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pubmed:meshHeading |
|
pubmed:year |
2009
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pubmed:articleTitle |
LifeShirt acquisition system to monitor ECG from ambulatory swine and the implementation of an arrhythmia detection algorithm.
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pubmed:affiliation |
Indiana Center for Vascular Biology and Medicine (ICVBM), Indiana University School of Medicine, Indianapolis, IN 46202, USA. akyle@iupui.edu
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pubmed:publicationType |
Journal Article,
Research Support, N.I.H., Extramural
|