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Evaluation of Capnography Sampling Line Compatibility and Accuracy when Used with a Portable Capnography Monitor

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Published on: September 29, 2020

Contactless Monitoring System Versus Gold Standard for Respiratory Rate Monitoring in Emergency Department Patients:

Charlotte E Goldfine¹, Md Farhan Tasnim Oshim², Brittany P Chapman³

¹Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, United States.

JMIR Formative Research

|February 16, 2024

Summary

This study evaluated a contactless radar sensor for respiratory rate monitoring. While not statistically significant, the PulsON 440 (P440) radar showed improved agreement at normal respiratory rates, indicating potential for future clinical use.

Keywords:

cardiopulmonary monitoring contactless monitor radar respiratory rate vital signs

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Area of Science:

Biomedical Engineering
Medical Devices
Respiratory Physiology

Background:

Respiratory rate is a critical, yet often neglected, vital sign.
Current monitoring methods are labor-intensive and prone to inaccuracies.
Contactless monitoring solutions are needed for improved patient assessment.

Purpose of the Study:

To compare the PulsON 440 (P440) radar module against manual and telemetry monitoring for respiratory rate.
To assess P440 radar agreement with gold standard measurements across different patient subgroups.

Main Methods:

A pilot study involving 14 adult emergency department patients.
Continuous 2-hour monitoring with the P440 radar module.
Comparison of P440 data with manual counts and telemetry at 15-minute intervals using Bland-Altman plots and ICC.

Main Results:

The P440 radar showed a bias of -0.76 and an intraclass correlation coefficient (ICC) of 0.38 compared to the gold standard.
Agreement between P440 and gold standard was highest within the normal physiologic respiratory rate range.
No significant differences in agreement were observed based on sex or admitting diagnosis.

Conclusions:

The P440 radar demonstrated a trend towards better agreement at normal respiratory rates, with overestimation at low and underestimation at high rates.
Future model adjustments are needed to enhance accuracy in detecting respiratory rates.
Validated contactless radar technology offers a promising solution for continuous patient monitoring.