@article{Wilson_Amelard_Clausi_Wong_2016, title={Co-integrating thermal and hemodynamic imaging for physiological monitoring}, volume={2}, url={https://openjournals.uwaterloo.ca/index.php/vsl/article/view/111}, DOI={10.15353/vsnl.v2i1.111}, abstractNote={<p>Photoplethysmographic imaging (PPGI) has gained popularity for<br />non-intrusive cardiovascular monitoring. However, certain symptoms<br />(e.g., fever) may not be easily detectable using cardiovascular<br />biomarkers. Here, we investigate the co-integration of PPGI<br />and thermal imaging to create a non-contact, widefield, multimodal<br />physiological monitoring system. To achieve strong PPGI performance,<br />high-power infrared LED stability was investigated by evaluating<br />two LED driver boards. Results show that the multimodal<br />imaging system was able to acquire spatially consistent hemodynamic<br />pulsatility and heat distributions in a case study. This multimodal<br />system may lead to improved systemic disease detection<br />and monitoring.</p>}, number={1}, journal={Journal of Computational Vision and Imaging Systems}, author={Wilson, Mackenzie and Amelard, Robert and Clausi, David and Wong, Alexander}, year={2016}, month={Oct.} }