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Updated: May 14, 2026

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Published on: January 26, 2019
Thoraco-abdominal asynchrony in children during quiet sleep using Hilbert transform
Sarah Immanuel1, Mark Kohler, Yvonne Pamula
1University of Adelaide, SA 5005, Australia. sarah.immanuel@adelaide.edu.au
Insights
We developed a Hilbert transform method to measure thoraco-abdominal asynchrony (TAA) using breathing signals. Sleep position significantly impacts TAA in children during non-REM sleep.
Area of Science:
- Respiratory Physiology
- Sleep Medicine
- Biomedical Engineering
Background:
- Thoraco-abdominal asynchrony (TAA) can indicate respiratory issues.
- Quantifying TAA during sleep is crucial for understanding breathing patterns.
- Existing methods may lack precision or ease of use.
Purpose of the Study:
- To introduce a novel Hilbert transform-based technique for quantifying TAA.
- To investigate the influence of sleep stages and positions on TAA in healthy children.
- To validate the Hilbert transform as a tool for respiratory inductive plethysmography (RIP) signal analysis.
Main Methods:
- Utilized respiratory inductive plethysmography (RIP) signals during overnight polysomnography (PSG).
- Applied Hilbert transform to calculate phase shift between ribcage (RC) and abdominal (AB) signals.
- Analyzed 30-second epochs from 40 healthy children across different sleep stages and positions (supine, lateral).
Main Results:
- A statistically significant effect of sleep position on TAA was observed in all non-REM sleep stages.
- The Hilbert transform method effectively quantified TAA from RIP data.
- Breathing patterns showed variations related to sleep position.
Conclusions:
- The Hilbert transform offers a straightforward and effective method for TAA quantification.
- Sleep position is a significant factor influencing thoraco-abdominal coordination in children during sleep.
- This technique can aid in the analysis of respiratory patterns during sleep studies.
Abstract:
We present a technique based on the Hilbert transform to quantify the thoraco-abdominal asynchrony (TAA) based on the phase shift between ribcage (RC) and abdomenal (AB) breathing signals acquired using respiratory inductive plethysmography (RIP). We employed this method to investigate RIP during overnight polysomnography (PSG) in 40 healthy children for analysis of their breathing patterns in various stages of sleep (ss 2, 3, 4 and REM) and in two common sleeping positions (supine and lateral). RIP signals free of respiratory or movement artifacts were segmented into 30 second epochs. Those epochs with maximum power in the quiet breathing frequency range and positional invariance throughout were included for further processing. TAA was calculated from corresponding RC and AB excursions. We found a statistically significant influence of sleep position on the level of TAA in all stages of non-REM sleep. In conclusion, the Hilbert transform provides a simple tool for the quantification of thoraco-abdominal asynchrony.
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