Document Detail


Classification of Ischaemic Episodes with ST/HR Diagrams.
MedLine Citation:
PMID:  22874369     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Coronary artery disease is the developed world's premier cause of mortality and the most probable cause of myocardial ischaemia. More advanced diagnostic tests aside, in electrocardiogram (ECG) analysis it manifests itself as a ST segment deviation, targeted by both exercise ECG and ambulatory ECG. In ambulatory ECG, besides ischaemic ST segment deviation episodes there are also non-ischaemic heart rate related episodes which aggravate real ischaemia detection. We present methods to transform the features developed for the heart rate adjustment of ST segment depression in exercise ECG for use in ambulatory ECG. We use annotations provided by the Long-Term ST Database to plot the ST/HR diagrams and then estimate the overall and maximal slopes of the diagrams in the exercise and recovery phase for each ST segment deviation episode. We also estimate the angle at the extrema of the ST/HR diagrams. Statistical analysis shows that ischaemic ST segment deviation episodes have significantly steeper overall and maximal slopes than heart rate related episodes, which indicates the explored features' utility for distinguishing between the two types of episodes. This makes the proposed features very useful in automated ECG analysis.
Authors:
Jana Faganeli Pucer; Janez Demšar; Matjaž Kukar
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Studies in health technology and informatics     Volume:  180     ISSN:  0926-9630     ISO Abbreviation:  Stud Health Technol Inform     Publication Date:  2012  
Date Detail:
Created Date:  2012-08-09     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214582     Medline TA:  Stud Health Technol Inform     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  1108-10     Citation Subset:  T    
Affiliation:
Faculty of computer and information science, University of Ljubljana, Tržaška 25, SI-1001 Ljubljana, Slovenia.
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