Remote Photoplethysmography Is an Accurate Method to Remotely Measure Respiratory Rate : A Hospital-Based Trial

Remote photoplethysmography imaging (rPPG) is a new solution proposed to measure vital signs, such as respiratory rate (RR) in teleconsultation, by using a webcam. The results, presented here, aim at evaluating the accuracy of such remote measurement methods, compared with existing measurement methods, in a real-life clinical setting. For each patient, measurement of RR, using the standard system (control), has been carried out concomitantly with the experimental system. A 60-s time frame was used for the measurements made by our rPPG system. Age, gender, BMI, and skin phototype were collected. We performed the intraclass correlation coefficient and Bland-Altman plot to analyze the accuracy and precision of the rPPG algorithm readings. Measurements of RR, using the two methods, have been realized on 963 patients. Comparison of the two techniques showed excellent agreement (96.0%), with most of the patients (n = 924-standard patients) being in the confidence interval of 95% in Bland-Altman plotting. There were no significant differences between standard patients and outlier patients for demographic and clinical characteristics. This study indicates a good agreement between the rPPG system and the control, thus allowing clinical use of this remote assessment of the respiratory rate.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:11

Enthalten in:

Journal of clinical medicine - 11(2022), 13 vom: 24. Juni

Sprache:

Englisch

Beteiligte Personen:

Allado, Edem [VerfasserIn]
Poussel, Mathias [VerfasserIn]
Renno, Justine [VerfasserIn]
Moussu, Anthony [VerfasserIn]
Hily, Oriane [VerfasserIn]
Temperelli, Margaux [VerfasserIn]
Albuisson, Eliane [VerfasserIn]
Chenuel, Bruno [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Remote photoplethysmography
Respiratory rate
Vital signs

Anmerkungen:

Date Revised 03.11.2023

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/jcm11133647

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM343274221