Characterising non-linear dynamics in nocturnal breathing patterns of healthy infants using recurrence quantification analysis
Copyright policy )Characterising non-linear dynamics in nocturnal breathing patterns of healthy infants using recurrence quantification analysis
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.
- University of Queensland Australia
- Boston Children's Hospital United States
- Mater Children's Hospital Australia
- University of Queensland Australia
- Mater Health Services Australia
Male, Computerised polysomnography, Recurrence quantification analysis, Polysomnography, Respiration, Infant, Sleep, REM, Paediatric sleep, Signal Processing, Computer-Assisted, Pattern Recognition, Automated, Breathing dynamics, Recurrence plot, Nonlinear Dynamics, 1706 Computer Science Applications, Humans, Female, Sleep and breathing physiology, Sleep, Algorithms, Non-linear analysis, 2718 Health Informatics, Monitoring, Physiologic
Male, Computerised polysomnography, Recurrence quantification analysis, Polysomnography, Respiration, Infant, Sleep, REM, Paediatric sleep, Signal Processing, Computer-Assisted, Pattern Recognition, Automated, Breathing dynamics, Recurrence plot, Nonlinear Dynamics, 1706 Computer Science Applications, Humans, Female, Sleep and breathing physiology, Sleep, Algorithms, Non-linear analysis, 2718 Health Informatics, Monitoring, Physiologic
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