Document Detail


Detrended fluctuation analysis: a suitable method for studying fetal heart rate variability?
MedLine Citation:
PMID:  15253126     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We evaluate the suitability of an enhanced detrended fluctuation analysis for studying fetal heart rate series involving imperfect quality of information. Our results indicate that to explore persistent long-range correlations, or fractality, the collection requirements of the data can be relaxed by allowing the possibility of using averaged fetal heart rate series. In addition, it also appears feasible to employ, without producing major alterations in the long-range scaling behaviour, fragmented fetal heart rate series involving up to 50% of random missing values, or up to 50 min of consecutive missing samples in recordings of approximately equal to 8 h length. These are crucial advantages to overcome the often variable quality of fetal data. Consequently, these findings may open the possibility of obtaining information concerning the development of neural processes from fetal heart rate series, despite their non-stationary and fragmented nature.
Authors:
J C Echeverría; B R Hayes-Gill; J A Crowe; M S Woolfson; G D H Croaker
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Physiological measurement     Volume:  25     ISSN:  0967-3334     ISO Abbreviation:  Physiol Meas     Publication Date:  2004 Jun 
Date Detail:
Created Date:  2004-07-15     Completed Date:  2005-01-04     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9306921     Medline TA:  Physiol Meas     Country:  England    
Other Details:
Languages:  eng     Pagination:  763-74     Citation Subset:  IM    
Affiliation:
School of Electrical and Electronic Engineering, University of Nottingham, Nottingham, UK. jcea@xanum.uam.mx
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Computer Simulation
Diagnosis, Computer-Assisted / methods*
Feasibility Studies
Fetal Monitoring / methods*
Fractals
Heart Rate, Fetal / physiology*
Humans
Models, Cardiovascular*
Models, Statistical*
Signal Processing, Computer-Assisted*
Stochastic Processes

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


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