Source:http://linkedlifedata.com/resource/pubmed/id/11975826
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
1
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| pubmed:dateCreated |
2002-4-26
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| pubmed:abstractText |
Noninvasive methods of identifying coronary artery disease are not consistently accurate. To identify abnormalities associated with angiographically determined coronary artery disease, the authors sought to quantify the utility of a new device, a digital database-driven multiphase electrocardiograph system (3DMP), which produces a computer-enhanced frequency/time-domain resting electrocardiogram, in conjunction with a 12-lead electrocardiogram. The authors compared resting 3DMP results from those of coronary angiograms to identify abnormalities associated with coronary artery disease in a random sample of 136 patients. Using a discrete-Fourier transform signal-averaging variant and a series of mathematic transformations, the computer-expert system analyzed signals in the 0.1- to 50-Hz range. The system identified abnormalities by comparing results with a 21,000-patient database culled from predicate research. The system detected abnormalities in 96.0% of patients subsequently found to have 70% or greater stenosis by angiography. For patients with a 40% or less times a more than 50% occlusion, the system detected abnormalities in 75% of cases. For patients with a 50% or less times a 70% or less occlusion, it detected abnormalities in 90% of cases. Overall sensitivity for the study was 93.3% (positive predictive value, 91.2%; specificity, 83%; negative predictive value, 86.7%). No gender differences were detected. A 3DMP electrocardiograph system combined with 12-lead electrocardiography appears to have measurable, diagnostic utility in identifying 3DMP abnormalities associated with coronary artery disease, and warrants further study.
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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 |
1521-737X
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| pubmed:author | |
| pubmed:issnType |
Print
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| pubmed:volume |
4
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
2-12
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| pubmed:dateRevised |
2007-11-15
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| pubmed:meshHeading |
pubmed-meshheading:11975826-Adolescent,
pubmed-meshheading:11975826-Adult,
pubmed-meshheading:11975826-Aged,
pubmed-meshheading:11975826-Child,
pubmed-meshheading:11975826-Child, Preschool,
pubmed-meshheading:11975826-Coronary Angiography,
pubmed-meshheading:11975826-Coronary Disease,
pubmed-meshheading:11975826-Coronary Thrombosis,
pubmed-meshheading:11975826-Diagnosis, Computer-Assisted,
pubmed-meshheading:11975826-Electrocardiography,
pubmed-meshheading:11975826-Evaluation Studies as Topic,
pubmed-meshheading:11975826-Female,
pubmed-meshheading:11975826-Fourier Analysis,
pubmed-meshheading:11975826-Humans,
pubmed-meshheading:11975826-Male,
pubmed-meshheading:11975826-Middle Aged,
pubmed-meshheading:11975826-Models, Theoretical,
pubmed-meshheading:11975826-Predictive Value of Tests,
pubmed-meshheading:11975826-Sensitivity and Specificity,
pubmed-meshheading:11975826-Severity of Illness Index
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| pubmed:articleTitle |
Computer-enhanced frequency-domain and 12-lead electrocardiography accurately detect abnormalities consistent with obstructive and nonobstructive coronary artery disease.
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| pubmed:affiliation |
Division Of Cardiology, New York Medical College, Valhalla, New York, USA.
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| pubmed:publicationType |
Journal Article,
Comparative Study
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