This study aims to evaluate the feasibility and accuracy of a non-contact, camera-based physiological monitoring technology in a perioperative setting (including anesthesia induction, surgery, and recovery).Conventional vital sign monitoring tools-such as ECG leads, blood pressure cuffs, and pulse oximeters-require direct skin contact, which may pose risks of cross-infection or skin injury in vulnerable populations (e.g., newborns or elderly patients). This research utilizes remote Photoplethysmography (rPPG) technology to estimate vital signs, including heart rate, blood pressure, and blood oxygen saturation (SpO2), by analyzing facial video captured via standard camera devices (Logitech C930, iPhone 16 Pro Max, and Samsung Galaxy S24 Ultra).The primary goal is to assess the consistency and stability of this non-contact system compared to clinical gold-standard monitors (Masimo Root, SedLine O3, and Radical-7) during actual surgical procedures. The findings will serve as a foundation for developing non-invasive, supplementary monitoring tools in dynamic clinical environments.
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Accuracy of Heart Rate (HR) monitoring
Timeframe: From anesthesia induction to recovery (approximately 2-6 hours).
Success rate of Systolic Blood Pressure (SBP) monitoring
Timeframe: From anesthesia induction to recovery (approximately 2-6 hours).
Success rate of Diastolic Blood Pressure (DBP) monitoring
Timeframe: From anesthesia induction to recovery (approximately 2-6 hours).
Success rate of Oxygen Saturation (SpO2) monitoring
Timeframe: From anesthesia induction to recovery (approximately 2-6 hours).