TY - JOUR
T1 - Facial Remote Photoplethysmography for Continuous Heart Rate, Stroke Volume, and Systemic Vascular Resistance Monitoring during Prolonged Warm/Cold Fluid Bolus Administration
AU - Momeni, Mahdi
AU - Wuthe, Sophie
AU - Molmer, Michaela Bitten
AU - Svendsen, Emilie Löbner
AU - Brabrand, Mikkel
AU - Biesenbach, Peter
AU - Teichmann, Daniel
PY - 2025
Y1 - 2025
N2 - 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 planeorthogonal- 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 = 0.571 and r = 0.596, respectively) across five regions of interest. The best correlations for SV and SVR were r = 0.846 and r = 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.
AB - 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 planeorthogonal- 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 = 0.571 and r = 0.596, respectively) across five regions of interest. The best correlations for SV and SVR were r = 0.846 and r = 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.
KW - Biomedical engineering
KW - clinical decision support
KW - critical care
KW - emergency medicine
KW - facial imaging photoplethysmography (iPPG)
KW - heart rate (HR) monitoring
KW - hemodynamic monitoring
KW - intravenous fluid therapy
KW - noncontact cardiovascular monitoring
KW - signal processing
KW - stroke volume (SV)
KW - systemic vascular resistance (SVR)
KW - temperature-variant fluid administration
UR - https://doi.org/10.1109/JSEN.2025.3553368
U2 - 10.1109/JSEN.2025.3553368
DO - 10.1109/JSEN.2025.3553368
M3 - Journal article
SN - 1530-437X
VL - 25
SP - 16151
EP - 16169
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 9
ER -