Document Detail


Exploiting correlation of ECG with certain EMD functions for discrimination of ventricular fibrillation.
MedLine Citation:
PMID:  21236417     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Ventricular fibrillation (VF) is a life-threatening cardiac arrhythmia. A high impulse current is required in this stage to save lives. In this paper, an empirical mode decomposition (EMD) based algorithm is presented to separate VF from other arrhythmias. The characteristics of the VF signal has high degree of similarity with the intrinsic mode functions (IMFs) of the EMD decomposition in comparison to other ECG pathologies. This high correlation between the VF signal and its certain IMFs is exploited to separate VF from other cardiac pathologies. Reliable databases are used to verify effectiveness of our algorithm and the results demonstrate superiority of our proposed technique compared to other well-known techniques of VF discrimination.
Authors:
Emran Mohammad Abu Anas; Soo Yeol Lee; Md Kamrul Hasan
Related Documents :
1175187 - A statistical prognostic study of pump failure in acute myocardial infarction.
24296197 - Left atrium ball thrombus in a patient with hemorrhagic cerebral infarction.
9468067 - Usefulness of pulmonary regurgitation doppler tracings in predicting in-hospital and lo...
23940387 - Right ventricular systolic dysfunction in young adults born preterm.
6542327 - The effects of post-mortem changes and calcium depletion on the ultrastructure of myoca...
23820197 - Echocardiographic assessment of coronary artery flow in normal dogs and model dogs with...
Publication Detail:
Type:  Journal Article     Date:  2011-01-14
Journal Detail:
Title:  Computers in biology and medicine     Volume:  41     ISSN:  1879-0534     ISO Abbreviation:  Comput. Biol. Med.     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-01-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  1250250     Medline TA:  Comput Biol Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  110-4     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Ltd. All rights reserved.
Affiliation:
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

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


Previous Document:  Synthesis, physicochemical and spectroscopic characterization of copper(II)-polysaccharide pullulan ...
Next Document:  On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for...