Characterising non-linear dynamics in nocturnal breathing patterns of healthy infants using recurrence quantification analysis

Abstract Breathing dynamics vary between infant sleep states, and are likely to exhibit non-linear behaviour. This study applied the non-linear analytical tool recurrence quantification analysis (RQA) to 400 breath interval periods of REM and N-REM sleep, and then using an overlapping moving window....

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Bibliographic Details
Published in:Computers in biology and medicine 2013-05, Vol.43 (4), p.231-239
Main Authors: Terrill, Philip I, Wilson, Stephen J, Suresh, Sadasivam, Cooper, David M, Dakin, Carolyn
Format: Article
Language:English
Subjects:
Algorithms
Breathing dynamics
Chaos theory
Computerised polysomnography
Female
Humans
Infant
Internal Medicine
Male
Monitoring, Physiologic - methods
Non-linear analysis
Nonlinear Dynamics
Other
Paediatric sleep
Pathology
Pattern Recognition, Automated - methods
Polysomnography - methods
Probability distribution
Recurrence plot
Recurrence quantification analysis
Respiration
Signal Processing, Computer-Assisted
Sleep
Sleep and breathing physiology
Sleep, REM - physiology
Studies
Variables
Citations: Items that this one cites
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Summary:Abstract Breathing dynamics vary between infant sleep states, and are likely to exhibit non-linear behaviour. This study applied the non-linear analytical tool recurrence quantification analysis (RQA) to 400 breath interval periods of REM and N-REM sleep, and then using an overlapping moving window. The RQA variables were different between sleep states, with REM radius 150% greater than N-REM radius, and REM laminarity 79% greater than N-REM laminarity. RQA allowed the observation of temporal variations in non-linear breathing dynamics across a night's sleep at 30 s resolution, and provides a basis for quantifying changes in complex breathing dynamics with physiology and pathology.
ISSN:0010-4825
1879-0534
DOI:10.1016/j.compbiomed.2013.01.005