| ECG compression using Ziv-Lempel techniques. | |
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MedLine Citation:
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PMID: 7614825 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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R N Horspool; W J Windels |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Computers and biomedical research, an international journal Volume: 28 ISSN: 0010-4809 ISO Abbreviation: Comput. Biomed. Res. Publication Date: 1995 Feb |
Date Detail:
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Created Date: 1995-08-24 Completed Date: 1995-08-24 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 0100331 Medline TA: Comput Biomed Res Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 67-86 Citation Subset: IM |
Affiliation:
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Department of Computer Science, University of Victoria, British Columbia, Canada. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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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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