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    
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.
Emran Mohammad Abu Anas; Soo Yeol Lee; Md Kamrul Hasan
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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.
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh.
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