Study of pulse transit time oscillations during obstructive sleep apnoea by using a distributed model

Jong Yong Abdiel Foo1, Chu Sing Lim

  • 1Biomedical Engineering Research Centre, Nanyang Technological University, 50 Nanyang Drive, Research Techno Plaza, 6th Storey, Xfrontiers Block, Singapore 637553, Singapore. jong@ntu.edu.sg

Insights

A new mathematical model describes pulse transit time (PTT) oscillations in sleeping children during normal breathing and obstructive sleep apnea (OSA). The model accurately reflects PTT changes, aiding in understanding cardiovascular responses to respiratory events.

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Physiology
  • Pediatric Sleep Medicine

Background:

  • Arterial compliance is crucial for understanding the systemic arterial tree's properties.
  • Existing mathematical models link arterial phenomena to wall properties, but few address pediatric sleep breathing disorders.
  • Pulse transit time (PTT) oscillations during sleep offer insights into cardiovascular dynamics.

Purpose of the Study:

  • To develop and validate a mathematical model for PTT oscillations in sleeping children.
  • To differentiate PTT patterns during tidal breathing versus obstructive sleep apnea (OSA).
  • To assess the model's ability to capture cardiovascular responses to respiratory events.

Main Methods:

  • Utilized data from 20 children undergoing overnight polysomnography (PSG).
  • Employed a modified Windkessel model incorporating physiological parameters to simulate PTT fluctuations.
  • Compared model predictions with actual PSG recorded data for tidal breathing and OSA events.

Main Results:

  • The model accurately predicted PTT oscillations during tidal breathing, with predicted values (3.89 s) closely matching actual data (3.72 ± 0.79 s).
  • For OSA, the model indicated under-damping PTT responses, with an estimated Q factor of 4.23 compared to actual data of 3.86 ± 0.64.
  • Model trends aligned with recorded PSG data for both breathing conditions.

Conclusions:

  • The proposed mathematical model demonstrates potential in illustrating PTT dynamics during tidal breathing and OSA in sleeping children.
  • This model can aid in understanding the cardiovascular system's response to different respiratory states during sleep.
  • Further research can refine the model for clinical applications in pediatric sleep and cardiovascular health.

Related Concept Videos

Sleep Apnea01:21

Sleep Apnea

Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
Pulse Oximetry01:24

Pulse Oximetry

Pulse oximetry, or SpO2, is a non-invasive method for continuously monitoring arterial oxygen saturation (SaO2). This procedure involves attaching a probe or sensor to the patient's fingertip, forehead, earlobe, or nose bridge. The sensor works by detecting changes in oxygen saturation levels through light signals generated by the oximeter and reflected by the pulsing blood under the probe.
Purpose
Average SpO2 values are greater than 95%. If the readings fall below 90%, it indicates that...
Pulse rhythm01:30

Pulse rhythm

Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Special considerations while measuring pulse01:13

Special considerations while measuring pulse

Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
Assessment of apical pulse01:17

Assessment of apical pulse

Assessing the Apical Pulse
Assessing the apical pulse is a critical nursing procedure, particularly indicated for: