Document Detail


Quality assessment of ECG compression techniques using a wavelet-based diagnostic measure.
MedLine Citation:
PMID:  16445263     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Electrocardiograph (ECG) compression techniques are gaining momentum due to the huge database requirements and wide band communication channels needed to maintain high quality ECG transmission. Advances in computer software and hardware enable the birth of new techniques in ECG compression, aiming at high compression rates. In general, most of the introduced ECG compression techniques depend on their evaluation performance on either inaccurate measures or measures targeting random behavior of error. In this paper, a new wavelet-based quality measure is proposed. A new wavelet-based quality measure is proposed. The new approach is based on decomposing the segment of interest into frequency bands where a weighted score is given to the band depending on its dynamic range and its diagnostic significance. A performance evaluation of the measure is conducted quantitatively and qualitatively. Comparative results with existing quality measures show that the new measure is insensitive to error variation, is accurate, and correlates very well with subjective tests.
Authors:
Amjed S Al-Fahoum
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society     Volume:  10     ISSN:  1089-7771     ISO Abbreviation:  IEEE Trans Inf Technol Biomed     Publication Date:  2006 Jan 
Date Detail:
Created Date:  2006-01-31     Completed Date:  2006-02-28     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9712259     Medline TA:  IEEE Trans Inf Technol Biomed     Country:  United States    
Other Details:
Languages:  eng     Pagination:  182-91     Citation Subset:  IM    
Affiliation:
Electronic Engineering Department, Yarmouk University, Irbid, Jordan. afahoum@yu.edu.jo
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Computer Simulation
Data Compression / methods*
Data Interpretation, Statistical
Diagnosis, Computer-Assisted / methods*
Electroencephalography / methods*
Humans
Models, Neurological*
Models, Statistical
Quality Assurance, Health Care / methods*
Reproducibility of Results
Sensitivity and Specificity

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


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