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Home
Respiratory Event Type And Duration Modulate Ppg Waveforms In Osa.

Home
Respiratory Event Type And Duration Modulate Ppg Waveforms In Osa.

Related Experiment Video

Multi-Modal Home Sleep Monitoring in Older Adults

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

Respiratory event type and duration modulate PPG waveforms in OSA.

Jutta Nurminen¹, Salla Hietakoste², Timothy Howarth¹

¹Department of Technical Physics, University of Eastern Finland - Kuopio Campus, Yliopistonrinne 3, Kuopio, 70211, Finland.

Physiological Measurement

|June 19, 2026

View abstract on PubMed

Summary

This summary is machine-generated.

Photoplethysmography (PPG) waveforms change significantly with obstructive sleep apnea (OSA) respiratory events. Longer events, especially apneas, cause more pronounced PPG waveform alterations, aiding cardiovascular disease risk assessment in OSA patients.

Keywords:

Cardiovascular load Obstructive sleep apnea Photoplethysmography Waveform analysis

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Published on: October 18, 2024

Area of Science:

Cardiology
Sleep Medicine
Biomedical Engineering

Background:

Obstructive sleep apnea (OSA) elevates cardiovascular disease (CVD) risk.
Photoplethysmography (PPG) signals reflect vascular health but are understudied in OSA.
Investigating PPG waveform changes during respiratory events can reveal insights into OSA's physiological impact.

Purpose of the Study:

To analyze the immediate effects of respiratory event characteristics on PPG waveforms in OSA patients.
To identify potential PPG patterns associated with cardiovascular health in the context of OSA.

Main Methods:

Retrospective analysis of 520 polysomnographies from suspected OSA patients.
Focused on PPG segments before, during, and after respiratory events (n=14442 each).

Quantified PPG waveform parameters (FWHM, Δt, Δtrel, ΔA, ΔArel) and assessed effects of event type and duration.

Main Results:

Longer respiratory events significantly increased ΔArel and FWHM, and decreased ΔA and Δtrel before and during events (p<0.001).
These effects were more pronounced during apneas than hypopneas.
PPG parameters fluctuated post-event, influenced by event type, duration, pre-event values, and heart rate (p<0.001).

Conclusions:

PPG waveform analysis offers a method to evaluate physiological stress from respiratory events in OSA.
This approach can potentially enhance CVD risk assessment tools for OSA patients.