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

Authors:
Philip I. Terrill;Stephen J. Wilson;Sadasivam Suresh;David M. Cooper;Carolyn Dakin
Affiliations:
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland 4072, Australia;School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland 4072, Australia;Department of Respiratory and Sleep Medicine, The Mater Children's Hospital, South Brisbane, Queensland 4101, Australia;Department of Respiratory and Sleep Medicine, The Mater Children's Hospital, South Brisbane, Queensland 4101, Australia;Department of Respiratory and Sleep Medicine, The Mater Children's Hospital, South Brisbane, Queensland 4101, Australia
Venue:
Computers in Biology and Medicine
Year:
2013

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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 30s resolution, and provides a basis for quantifying changes in complex breathing dynamics with physiology and pathology.