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Video plethysmography for contactless blood pressure and heart rate measurement in perioperative care.

Authors :
Pham C
Poorzargar K
Panesar D
Lee K
Wong J
Parotto M
Chung F
Source :
Journal of clinical monitoring and computing [J Clin Monit Comput] 2024 Feb; Vol. 38 (1), pp. 121-130. Date of Electronic Publication: 2023 Sep 16.
Publication Year :
2024

Abstract

The purpose of this study was to evaluate the feasibility and accuracy of remote Video Plethysmography (VPPG) for contactless measurements of blood pressure (BP) and heart rate (HR) in adult surgical patients in a hospital setting. An iPad Pro was used to record a 1.5-minute facial video of the participant's face and VPPG was used to extract vital signs measurements. A standard medical device (Welch Allyn) was used for comparison to measure BP and HR. Trial registration: NCT05165381. Two-hundred-sixteen participants consented and completed the contactless BP and HR monitoring (mean age 54.1 ± 16.8 years, 58% male). The consent rate was 75% and VPPG was 99% successful in capturing BP and HR. VPPG predicted SBP, DBP, and HR with a measurement bias ± SD, -8.18 ± 16.44 mmHg, - 6.65 ± 9.59 mmHg, 0.09 ± 6.47 beats/min respectively. Pearson's correlation for all measurements between VPPG and standard medical device was significant. Correlation for SBP was moderate (0.48), DBP was weak (0.29), and HR was strong (0.85). Most patients were satisfied with the non-contact technology with an average rating of 8.7/10 and would recommend it for clinical use. VPPG was highly accurate in measuring HR, and is currently not accurate in measuring BP in surgical patients. The VPPG BP algorithm showed limitations in capturing individual variations in blood pressure, highlighting the need for further improvements to render it clinically effective across all ranges. Contactless vital signs monitoring was well-received and earned a high satisfaction score.<br /> (© 2023. The Author(s), under exclusive licence to Springer Nature B.V.)

Details

Language :
English
ISSN :
1573-2614
Volume :
38
Issue :
1
Database :
MEDLINE
Journal :
Journal of clinical monitoring and computing
Publication Type :
Academic Journal
Accession number :
37715858
Full Text :
https://doi.org/10.1007/s10877-023-01074-6