Why the study?
Stroke volume, systemic vascular resistance, and heart rate are critical for monitoring in emergency and critical care, motivating the evaluation of noncontact imaging photoplethysmography during fluid administration.
Does imaging photoplethysmography (iPPG) accurately monitor heart rate, stroke volume, and systemic vascular resistance compared to reference measures in healthy volunteers during fluid bolus administration?
Does imaging photoplethysmography (iPPG) accurately monitor heart rate, stroke volume, and systemic vascular resistance compared to reference measures in healthy volunteers during fluid bolus administration?
Facial remote photoplethysmography demonstrates feasibility for continuous, noncontact monitoring of heart rate, stroke volume, and systemic vascular resistance during fluid administration.
Noncontact iPPG may enable sensor-free hemodynamic monitoring; leaves open accuracy and utility in critically ill patients.
Hemodynamic parameters—stroke volume (SV), systemic vascular resistance (SVR), and heart rate (HR)—are critical for clinical monitoring, particularly in emergency and critical care settings. This study evaluates the feasibility of a noninvasive, noncontact monitoring approach using imaging photoplethysmography (iPPG), which applies camera-based PPG and a signal processing pipeline implemented in MATLAB. A total of 25 prolonged video recordings (2500 min) were collected from 16 healthy volunteers at Odense University Hospital, while they received intravenous infusions of warm (37~∘C) and cold (15~∘C) Ringer’s lactate. To ensure data reliability, video quality and head motion were systematically analyzed. HR estimation using the plane-orthogonal-to-skin (POS) method achieved an average absolute error (avAE) of 4.28 bpm, with the best accuracy of 2.18 bpm, while the CHROM method yielded similar performance (4.27-bpm average error and 2.55-bpm best accuracy). SV and SVR demonstrated moderate correlation with reference measures (r = 0.571andr = 0.596, respectively) across five regions of interest. The best correlations for SV and SVR werer = 0.846andr = 0.873, respectively, indicating strong potential for accurate noncontact monitoring. These results suggest that iPPG can provide real-time cardiovascular insights during fluid therapy, with potential applications in telemedicine and mobile health. However, to robustly generalize the findings of this study, limitations such as interindividual variability and the need to include diverse patient populations should be considered. This study provides the first demonstration of iPPG feasibility for prolonged emergency fluid administration, paving the way for further research in dynamic clinical environments.
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Momeni et al. (2025) studied this question.
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