title: 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. 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.
authors: School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland 4072, Australia. p.terrill@uq.edu.au
authors: Philip I
authors: PI
authors: Terrill
authors: Stephen J
authors: SJ
authors: Wilson
authors: Sadasivam
authors: S
authors: Suresh
authors: David M
authors: DM
authors: Cooper
authors: Carolyn
authors: C
authors: Dakin
mesh_terms: D000465:Algorithms; D005260:Female; D006801:Humans; D007223:Infant; D008297:Male; D008991:Monitoring, Physiologic / Q000379:methods*; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated / Q000379:methods*; D017286:Polysomnography / Q000379:methods*; D012119:Respiration; D012815:Signal Processing, Computer-Assisted; D012890:Sleep; D012895:Sleep, REM / Q000502:physiology