Document Detail


ECG compression using Ziv-Lempel techniques.
MedLine Citation:
PMID:  7614825     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The strong regularity in an ECG recording suggests that data compression techniques based on finding and efficiently coding repetitions in the data are likely to be effective. It is shown how the LZ77 compression method due to Ziv and Lempel can be adapted to ECG compression. Experimental results show the new algorithm to be highly effective. Some enhancements to the basic compression algorithm to reduce noise in the decompressed trace are described and experimentally verified.
Authors:
R N Horspool; W J Windels
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Computers and biomedical research, an international journal     Volume:  28     ISSN:  0010-4809     ISO Abbreviation:  Comput. Biomed. Res.     Publication Date:  1995 Feb 
Date Detail:
Created Date:  1995-08-24     Completed Date:  1995-08-24     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0100331     Medline TA:  Comput Biomed Res     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  67-86     Citation Subset:  IM    
Affiliation:
Department of Computer Science, University of Victoria, British Columbia, Canada.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Artifacts
Electrocardiography*
Fourier Analysis
Humans
Pattern Recognition, Automated
Signal Processing, Computer-Assisted*
Software Design

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


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