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Updated: Mar 26, 2026

A Methodological Approach to Non-invasive Assessments of Vascular Function and Morphology
Published on: February 7, 2015
Introducing Contactless Blood Pressure Assessment Using a High Speed Video Camera
In Cheol Jeong1, Joseph Finkelstein2
1Chronic Disease Informatics Program, Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, 2024 East Monument St., Baltimore, 21205, MD, USA. ijeong1@jhmi.edu.
This study introduces a new contactless method using high-speed cameras to estimate blood pressure (BP) via image-based pulse transit time (iPTT). The findings show a high correlation between iPTT and BP, suggesting potential for unobtrusive BP monitoring.
Area of Science:
- Biomedical Engineering
- Physiological Monitoring
- Medical Imaging
Background:
- Blood pressure (BP) estimation traditionally relies on pulse transit time (PTT) derived from body-worn sensors.
- Photoplethysmogram (PPG) signals are commonly used to detect pulse wave propagation time for PTT calculation.
- Existing methods require physical contact, limiting continuous and unobtrusive monitoring.
Purpose of the Study:
- To introduce a novel methodology for contactless registration of image-based PPG (iPPG) and image-based PTT (iPTT).
- To assess the feasibility of utilizing iPTT for blood pressure estimation in vivo.
- To determine the correlation between contactless iPTT and traditional BP measurements.
Main Methods:
- Developed a system for contactless iPPG and iPTT generation using a high-speed camera (420 fps).
- Registered iPPG signals from head and palm areas simultaneously.
- Calculated iPTT as the time lag between pulse waves from two iPPG signals.
- Measured BP using a verified monitor during rest, exercise peak, and recovery in healthy volunteers.
Main Results:
- Achieved an average inter-person correlation of 0.85 ± 0.08 between PTT and iPTT.
- Demonstrated a significant correlation range (0.70 to 0.95, p < 0.05) between PTT and iPTT.
- Found an average inter-person correlation of -0.80 ± 0.12 between systolic BP (SBP) and iPTT.
- Observed strong intra-individual correlations between iPTT and BP (0.632 to 0.960, p < 0.05).
Conclusions:
- A high-speed camera system can potentially enable unobtrusive, contactless monitoring of BP changes.
- The developed methodology successfully generates approximations of pulse transit time.
- Initial results show high intra-individual correlation between iPTT and BP, warranting further investigation.
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