Document Detail


Enhancement of low-level ECG components in noise with time-sequenced adaptive filtering.
MedLine Citation:
PMID:  2090739     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Observation of low amplitude components in the ECG motivated our interest in time-sequenced adaptive filtering. This technique is applicable to signals that are cyclic in nature. Two simultaneously acquired signals are used in the technique. It is assumed that the underlying signal is correlated and that noise is uncorrelated between the two channels. Instead of one enhancer that continuously adjusts its characteristics over the time course of the signal, each cycle is subdivided into intervals; a given enhancer is used only on the same corresponding interval in successive cycles. This minimizes the signal range over which the enhancer must adjust its characteristics. In the time-sequenced approach, it is important that the enhancers adapt at the same rate. Thus, each has its own feedback coefficient derived from an average of 10 consecutive ECG cycles and an estimate of noise in intervals where no signal is present. Each feedback coefficient is augmented over the first 10 beats. To improve adaptation, a means to update each filter on the preceding beat and the current beat was developed. Lastly, a weight averaging scheme was developed to circumvent weight stalling. The procedure has enabled observation of both His activity and late potentials in individual beats from signals acquired from the chest surface.
Authors:
G G Cano; S A Briller; D A Coast
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of electrocardiology     Volume:  23 Suppl     ISSN:  0022-0736     ISO Abbreviation:  J Electrocardiol     Publication Date:  1990  
Date Detail:
Created Date:  1991-06-06     Completed Date:  1991-06-06     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0153605     Medline TA:  J Electrocardiol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  176-83     Citation Subset:  IM    
Affiliation:
Allegheny-Singer Research Institute, Pittsburgh, Pennsylvania 15212-9986.
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MeSH Terms
Descriptor/Qualifier:
Electrocardiography / methods*
Filtration / methods
Heart Conduction System / physiology*
Humans
Signal Processing, Computer-Assisted*
Time Factors

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


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