Linked Life Data

19964975

Source:http://linkedlifedata.com/resource/pubmed/id/19964975

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2009-12-7
pubmed:abstractText
In this work a new strategy for ischemic episodes automatic detection is proposed, considering ST segment deviation and T wave and QRS morphology characteristics. A new measure of ST deviation based on time-frequency analysis, and the use of the expansion in Hermite functions technique for T wave and QRS complex morphology characterization, are the key points of the proposed methodology. HeartCycle is a European project that aims to improve life quality of coronary artery disease (CAD) and heart failure (HF) patients. Within this project, the Medical Risk Assessment module is responsible for develop models to assess cardiovascular (CV) risk and status of referred patients. The present work was performed under the context of CV status models, where myocardial ischemia plays a central role. For algorithms validation purposes, the European Society of Cardiology (ESC) ST-T database was used. A sensitivity of 96.7% and a positive predictivity of 96.2% reveal the capacity of the proposed strategy to perform ischemic episodes identification.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
2009
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2535-8
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Ischemia detection in the context of a cardiovascular status assessment tool.
pubmed:affiliation
Instituto Politécnico de Coimbra, Departamento de Engenharia Informática e de Sistemas, Coimbra. teresa@isec.pt
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't