Assessing photoplethysmographic imaging performance beyond facial perfusion analysis

Robert Amelard; Richard L. Hughson; Danielle K. Greaves; David A. Clausi; Alexander Wong

doi:10.1117/12.2252114

17 February 2017 Assessing photoplethysmographic imaging performance beyond facial perfusion analysis

Robert Amelard, Richard L. Hughson, Danielle K. Greaves, David A. Clausi, Alexander Wong

Proceedings Volume 10072, Optical Diagnostics and Sensing XVII: Toward Point-of-Care Diagnostics; 100720Q (2017) https://doi.org/10.1117/12.2252114
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Photoplethysmographic imaging (PPGI) systems are relatively new non-contact biophotonic diffuse reflectance systems able to assess arterial pulsations through transient changes in light-tissue interaction. Many PPGI studies have focused on extracting heart rate from the face or hand. Though PPGI systems can be used for widefield imaging of any anatomical area, whole-body investigations are lacking. Here, using a novel PPGI system, coded hemodynamic imaging (CHI), we explored and analyzed the pulsatility at major arterial locations across the whole body, including the neck (carotid artery), arm/wrist (brachial, radial and ulnar arteries), and leg/feet (popliteal and tibial arteries). CHI was positioned 1.5 m from the participant, and diffuse reactance from a broadband tungsten-halogen illumination was filtered using 850{1000 nm bandpass filter for deep tissue penetration. Images were acquired over a highly varying 24-participant sample (11/13 female/male, age 28.7±12.4 years, BMI 25.5±5.2 kg/m²), and a preliminary case study was performed. B-mode ultrasound images were acquired to validate observations through planar arterial characteristics.

Conference Presentation

Citation Download Citation

Robert Amelard, Richard L. Hughson, Danielle K. Greaves, David A. Clausi, and Alexander Wong "Assessing photoplethysmographic imaging performance beyond facial perfusion analysis", Proc. SPIE 10072, Optical Diagnostics and Sensing XVII: Toward Point-of-Care Diagnostics, 100720Q (17 February 2017); https://doi.org/10.1117/12.2252114

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available