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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
2
|
| pubmed:dateCreated |
1993-8-5
|
| pubmed:abstractText |
An approach to QRS complex detection based on mathematical morphology is presented in this communication. QRS complexes are detected by the application of a simple morphological operator. This operator works as a peak-valley extractor and it is controlled by the shape of the structuring element. A set (horizontal line segment) is used as structuring element resulting in very fast execution times. The accuracy of this approach has been tested using a standard ECG library; a sensitivity of 99.38% and a positive predictivity of 99.48% have been achieved.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Feb
|
| pubmed:issn |
0018-9294
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
40
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
201-5
|
| pubmed:dateRevised |
2009-11-11
|
| pubmed:meshHeading |
pubmed-meshheading:8319971-Decision Support Techniques,
pubmed-meshheading:8319971-Electrocardiography,
pubmed-meshheading:8319971-Evaluation Studies as Topic,
pubmed-meshheading:8319971-Heart Diseases,
pubmed-meshheading:8319971-Humans,
pubmed-meshheading:8319971-Image Processing, Computer-Assisted,
pubmed-meshheading:8319971-Mathematics,
pubmed-meshheading:8319971-Sensitivity and Specificity,
pubmed-meshheading:8319971-Signal Processing, Computer-Assisted
|
| pubmed:year |
1993
|
| pubmed:articleTitle |
An approach to QRS complex detection using mathematical morphology.
|
| pubmed:affiliation |
Department of Electrical and Computer Engineering, University of Toronto, Ont., Canada.
|
| pubmed:publicationType |
Journal Article
|