Mr. Kevin Murray Profile

Kevin Murray

at Schlegel-UW Research Institute for Aging

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Proceedings Article | 13 March 2019 Presentation

Non-contact biophotonic assessment of changes in central venous pressure using photoplethysmographic imaging (Conference Presentation)

Robert Amelard, Jason Au, Kevin Murray, Danielle Greaves, Richard Hughson

Proceedings Volume 10885, 1088506 (2019) https://doi.org/10.1117/12.2510763

KEYWORDS: Biomedical optics, Photoplethysmography, Imaging systems, Veins, Head, Heart, Blood, Neck, Hemodynamics, Image filtering

Read Abstract +

Central venous pressure (CVP) is a good surrogate for right atrial pressure, making it useful for assessing heart-related diseases. However, CVP is commonly assessed using invasive venous catheterization, rendering it infeasible for routine monitoring. Photoplethsymographic imaging (PPGI) is a biophotonic system that has recently shown to be capable of assessing the jugular venous pulse (JVP) waveform in a non-contact, widefield manner. Here, we monitored the effect of increased venous pressure on the JVP using a non-contact PPGI system. In this case study, the participant (22 year old healthy male) was positioned in a supine, right-tilted position so that the arm was below heart level with a continuous column of blood between the basilic vein and the right atrium to estimate CVP. The neck was illuminated with 940~nm uniform illumination, and a PPGI system, coded hemodynamic imaging, extracted the jugular venous pulse through a negative correlation filter using the arterial waveform. Data were collected at 0$^\deg$ and 8$^\deg$ head down tilt to alter the CVP due to changes in gravitational forces. Initial results show good agreement between the pulsatility of the jugular venous signal from the PPGI system compared and the pulsatility of the basilic venous pulse measured by a catheter placed into a vein. The PPGI data show changes in baseline pulsatility amplitude that reflect the changes in venous pressure moving from supine to 8$^\deg$ head down tilt transition, and are consistent in magnitude with measured CVP data.

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