Document Detail

Wavelet packets feasibility study for the design of an ECG compressor.
MedLine Citation:
PMID:  17405386     Owner:  NLM     Status:  MEDLINE    
Most of the recent electrocardiogram (ECG) compression approaches developed with the wavelet transform are implemented using the discrete wavelet transform. Conversely, wavelet packets (WP) are not extensively used, although they are an adaptive decomposition for representing signals. In this paper, we present a thresholding-based method to encode ECG signals using WP. The design of the compressor has been carried out according to two main goals: (1) The scheme should be simple to allow real-time implementation; (2) quality, i.e., the reconstructed signal should be as similar as possible to the original signal. The proposed scheme is versatile as far as neither QRS detection nor a priori signal information is required. As such, it can thus be applied to any ECG. Results show that WP perform efficiently and can now be considered as an alternative in ECG compression applications.
Manuel Blanco-Velasco; Fernando Cruz-Roldán; Juan Ignacio Godino-Llorente; Kenneth E Barner
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  54     ISSN:  0018-9294     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2007 Apr 
Date Detail:
Created Date:  2007-04-04     Completed Date:  2007-04-24     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  766-9     Citation Subset:  IM    
Department of Teorfa de la Sefial y Comunicaciones, Universidad de Alcalá, Campus Universitario, 28871 Alcalá de Henares, Madrid, Spain.
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MeSH Terms
Data Compression / methods*
Electrocardiography / methods*
Feasibility Studies
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted*

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

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