Document Detail


ECG data compression by modeling.
MedLine Citation:
PMID:  8325008     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The paper presents a novel algorithm for data compression of single lead electrocardiogram (ECG) data. The method is based on parametric modeling of the discrete cosine transformed ECG signal. Improved high frequency reconstruction is achieved by separately modeling the low and the high frequency regions of the transformed signal. Differential pulse code modulation is applied on the model parameters to obtain a further increase in the compression. Compression ratios up to 1:40 were achieved without significant distortion.
Authors:
B Madhukar; I S Murthy
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Computers and biomedical research, an international journal     Volume:  26     ISSN:  0010-4809     ISO Abbreviation:  Comput. Biomed. Res.     Publication Date:  1993 Jun 
Date Detail:
Created Date:  1993-08-10     Completed Date:  1993-08-10     Revised Date:  2000-12-18    
Medline Journal Info:
Nlm Unique ID:  0100331     Medline TA:  Comput Biomed Res     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  310-7     Citation Subset:  IM    
Affiliation:
Department of Electrical Engineering, Indian Institute of Science, Bangalore, India.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Automatic Data Processing
Electrocardiography*
Image Processing, Computer-Assisted
Models, Cardiovascular*
Signal Processing, Computer-Assisted*

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


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