Facial Remote Photoplethysmography for Continuous Heart Rate Monitoring during Prolonged Cold Liquid Bolus
Summary
Camera-based remote photoplethysmography (rPPG) accurately monitors heart rate (HR) during fluid bolus therapy. This non-contact method achieved a low error rate, proving its clinical potential in critical care.
Area of Science:
- Medical Technology
- Biomedical Engineering
- Physiological Monitoring
Background:
- Intravenous fluid bolus (FB) therapy requires continuous physiological monitoring.
- Traditional heart rate (HR) monitoring methods can be invasive or prone to artifacts.
- Remote photoplethysmography (rPPG) offers a potential non-contact alternative.
Purpose of the Study:
- To investigate the feasibility of camera-based remote photoplethysmography (rPPG) for heart rate (HR) monitoring during intravenous fluid bolus (FB) therapy.
- To assess the accuracy and robustness of an rPPG system in a clinical setting.
Main Methods:
- Developed a MATLAB-based toolchain for HR extraction using camera footage.
- Implemented a two-stage region of interest (ROI) determination incorporating deep learning for facial landmarks.
- Utilized chrominance-based (CHROM) and plane-orthogonal-to-skin (POS) signal extraction for motion artifact robustness.
- Omitted traditional preprocessing steps to minimize signal processing.
Main Results:
- Achieved a mean heart rate (HR) error of fewer than 2 beats per minute (bpm) compared to ground truth.
- Demonstrated the system's alignment with established monitoring methods.
- Validated the effectiveness of dynamic ROI determination and robust signal extraction techniques.
Conclusions:
- Camera-based remote photoplethysmography (rPPG) is a feasible and accurate method for non-contact heart rate (HR) monitoring during fluid bolus therapy.
- The developed system shows promise for application in critical care and emergency settings.
- Minimal signal processing with robust extraction methods yields high accuracy in clinical environments.
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