Document Detail


Detection of regularities in heart rate variations by linear and non-linear analysis: power spectrum versus approximate entropy.
MedLine Citation:
PMID:  8925646     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Regularity or complexity characteristics of RR interval variations have attained importance in the evaluation of a variety of pathological conditions. Regular periodic fluctuations in heart rate are considered indicators of loss of control in the cardiovascular system and of disturbances in pulmonary function. Methods to detect such loss of cardiopulmonary function have been developed mainly through linear and non-linear system analysis. Both approaches were tested in the present study. MBW, which is the ratio between maximal power spectrum (PS) amplitude and its 3-db bandwidth (BW) in the 0-0.1 Hz frequency range, was calculated and compared for different examples derived from 24 h Holter recordings and for sinusoidal function mixed with varying degrees of noise. Approximate entropy (ApEn), a measure derived from non-linear system analysis has been tested for the same data and compared with the MBW ratio. The results show that MBW effectively differentiates regular and non-regular epochs while ApEn differentiates them in a less optimal manner especially in cases where higher degrees of noise are present but regularity is still observed visually.
Authors:
D Sapoznikov; M H Luria; M S Gotsman
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Computer methods and programs in biomedicine     Volume:  48     ISSN:  0169-2607     ISO Abbreviation:  Comput Methods Programs Biomed     Publication Date:  1995 Dec 
Date Detail:
Created Date:  1996-10-25     Completed Date:  1996-10-25     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8506513     Medline TA:  Comput Methods Programs Biomed     Country:  IRELAND    
Other Details:
Languages:  eng     Pagination:  201-9     Citation Subset:  IM    
Affiliation:
Department of Cardiology, Hadassah University Hospital, Jerusalem, Israel.
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MeSH Terms
Descriptor/Qualifier:
Artifacts
Electrocardiography, Ambulatory*
Heart Diseases / diagnosis
Heart Rate*
Humans
Linear Models*
Observer Variation
Periodicity
Reproducibility of Results
Signal Processing, Computer-Assisted*
Systems Analysis*

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


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