Document Detail

A classification scheme for ventricular arrhythmias using wavelets analysis.
MedLine Citation:
PMID:  23132525     Owner:  NLM     Status:  Publisher    
Identification and classification of ventricular arrhythmias such as rhythmic ventricular tachycardia (VT) and disorganized ventricular fibrillation (VF) are vital tasks in guiding implantable devices to deliver appropriate therapy in preventing sudden cardiac deaths. Recent studies have shown VF can exhibit strong regional organizations, which makes the overlap zone between the fast paced rhythmic VT and VF even more ambiguous. Considering that implantable cardioverter-defibrillator (ICD) are primarily rate dependent detectors of arrhythmias and that there may be patients who suffer from arrhythmias that fall in the overlap zone, it is essential to identify the degree of affinity of the arrhythmia toward VT or organized/disorganized VF. The method proposed in this work better categorizes the overlap zone using Wavelet analysis of surface ECGs. Sixty-three surface ECG signal segments from the MIT-BIH database were used to classify between VT, organized VF (OVF), and disorganized VF (DVF). A two-level binary classifier was used to first extract VT with an overall accuracy of 93.7 % and then the separation between OVF and DVF with an accuracy of 80.0 %. The proposed approach could assist clinicians to provide optimal therapeutic solutions for patients in the overlap zone of VT and VF.
K Balasundaram; S Masse; K Nair; K Umapathy
Related Documents :
22957665 - Myxomas in all cardiac chambers.
23849605 - Extreme sacrifice: sudden cardiac death in the us fire service.
24819985 - Impact of insulin resistance on ventricular function in pulmonary arterial hypertension.
23742805 - The insufficiency of left anterior oblique and the usefulness of right anterior oblique...
20638355 - Ventricular septal rupture and right ventricular intramyocardial dissection secondary t...
23241275 - Probenecid as a noninjurious positive inotrope in an ischemic heart disease murine model.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-11-7
Journal Detail:
Title:  Medical & biological engineering & computing     Volume:  -     ISSN:  1741-0444     ISO Abbreviation:  Med Biol Eng Comput     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-11-7     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7704869     Medline TA:  Med Biol Eng Comput     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada,
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Fundamental principles of data assimilation underlying the Verdandi library: applications to biophys...
Next Document:  Classification of surface electromyographic signals by means of multifractal singularity spectrum.