Document Detail


Attractor structure discriminates sleep states: recurrence plot analysis applied to infant breathing patterns.
MedLine Citation:
PMID:  20172814     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Breathing patterns are characteristically different between infant active sleep (AS) and quiet sleep (QS), and statistical quantifications of interbreath interval (IBI) data have previously been used to discriminate between infant sleep states. It has also been identified that breathing patterns are governed by a nonlinear controller. This study aims to investigate whether nonlinear quantifications of infant IBI data are characteristically different between AS and QS, and whether they may be used to discriminate between these infant sleep states. Polysomnograms were obtained from 24 healthy infants at six months of age. Periods of AS and QS were identified, and IBI data extracted. Recurrence quantification analysis (RQA) was applied to each period, and recurrence calculated for a fixed radius in the range of 0-8 in steps of 0.02, and embedding dimensions of 4, 6, 8, and 16. When a threshold classifier was trained, the RQA variable recurrence was able to correctly classify 94.3% of periods in a test dataset. It was concluded that RQA of IBI data is able to accurately discriminate between infant sleep states. This is a promising step toward development of a minimal-channel automatic sleep state classification system.
Authors:
Philip Ian Terrill; Stephen James Wilson; Sadasivam Suresh; David M Cooper; Carolyn Dakin
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-02-17
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  57     ISSN:  1558-2531     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2010 May 
Date Detail:
Created Date:  2010-07-27     Completed Date:  2010-12-15     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1108-16     Citation Subset:  IM    
Affiliation:
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Qld. 4067, Australia. p.terrill@uq.edu.au
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Diagnosis, Computer-Assisted / methods*
Discriminant Analysis
Female
Humans
Infant
Male
Pattern Recognition, Automated / methods*
Plethysmography, Impedance / methods*
Polysomnography / methods*
Reproducibility of Results
Respiratory Rate / physiology*
Sensitivity and Specificity
Sleep Stages / physiology*

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


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