High-fidelity measurement of pulse arrival time in critically ill children using standard bedside monitoring equipment

<i>Objective</i>. Pulse arrival time (PAT) is known to be correlated with blood pressure. Although PAT can be measured using electrocardiography (ECG), photoplethysmography (PPG), and other signals commonly available in clinical settings, recent literature has noted that devices recording these waveforms are often subject to many hardware-specific factors related to digital filtering, clock synchronization, temporal resolution, and latency. These factors can introduce relative timing errors between the ECG and PPG signals, resulting in a situation where traditional approaches for PAT measurement will not work as intended.<i>Approach</i>. In this work, we propose a methodology that accounts for these confounding factors and generates precise measurements of PAT using standard bedside monitoring equipment. This technique involves using heart rate variability to match heartbeats across waveforms and experimentally profiling the timing systems of bedside medical devices to correct various timing-related artifacts. To improve the precision of the resulting PAT measurements, we model temporal uncertainties stemming from the finite temporal resolution of the waveform samples.<i>Main results</i>. We apply this approach to a dataset comprising approximately 1.6 million hours of continuous ECG and PPG data from over 10 000 unique patients in a pediatric intensive care unit. After demonstrating that the observed timing artifacts are consistent across the entire dataset, we show that accounting for them results in more reasonable distributions of PAT measurements across age groups.<i>Significance</i>. It is our hope that this work will spur discussion around the standardization of PAT measurement using routinely collected signals in a clinical environment.

Authors

Institutions

Publication Details

Journal
Physiological Measurement
Published
2025-11-04
DOI
https://doi.org/10.1088/1361-6579/ae1b70
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-fidelity measurement of pulse arrival time in critically ill children using standard bedside monitoring equipment

Michael Brudno, Steven M. Schwartz, Azadeh Assadi, Alex Mariakakis et al.
Physiological Measurement
Non-Invasive Vital Sign Monitoring
article

High-fidelity measurement of pulse arrival time in critically ill children using standard bedside monitoring equipment

Michael Brudno, Steven M. Schwartz, Azadeh Assadi, Alex Mariakakis, Ann Goodwin, William G Dixon, Asad Siddiqui, Binh Nguyen, Robert W. Greer, Ian Ruffolo
article en

Abstract

<i>Objective</i>. Pulse arrival time (PAT) is known to be correlated with blood pressure. Although PAT can be measured using electrocardiography (ECG), photoplethysmography (PPG), and other signals commonly available in clinical settings, recent literature has noted that devices recording these waveforms are often subject to many hardware-specific factors related to digital filtering, clock synchronization, temporal resolution, and latency. These factors can introduce relative timing errors between the ECG and PPG signals, resulting in a situation where traditional approaches for PAT measurement will not work as intended.<i>Approach</i>. In this work, we propose a methodology that accounts for these confounding factors and generates precise measurements of PAT using standard bedside monitoring equipment. This technique involves using heart rate variability to match heartbeats across waveforms and experimentally profiling the timing systems of bedside medical devices to correct various timing-related artifacts. To improve the precision of the resulting PAT measurements, we model temporal uncertainties stemming from the finite temporal resolution of the waveform samples.<i>Main results</i>. We apply this approach to a dataset comprising approximately 1.6 million hours of continuous ECG and PPG data from over 10 000 unique patients in a pediatric intensive care unit. After demonstrating that the observed timing artifacts are consistent across the entire dataset, we show that accounting for them results in more reasonable distributions of PAT measurements across age groups.<i>Significance</i>. It is our hope that this work will spur discussion around the standardization of PAT measurement using routinely collected signals in a clinical environment.

Physiological MeasurementVol. 46(11)
The University of Sydney (AU), University of Toronto (CA), BirdLife International (KE), Hospital for Sick Children (CA), Canada Research Chairs (CA), UNSW Sydney (AU)
Openalex Percentile: Top 68%
Non-Invasive Vital Sign Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.