@article{6ecc789505064fbeb67b7d56c0c6dade,
title = "Contact-free measurement of cardiac pulse based on the analysis of thermal imagery",
abstract = "We have developed a novel method to measure human cardiac pulse at a distance. It is based on the information contained in the thermal signal emitted from major superficial vessels. This signal is acquired through a highly sensitive thermal imaging system. Temperature on the vessel is modulated by pulsative blood flow. To compute the frequency of modulation (pulse), we extract a line-based region along the vessel. Then, we apply fast Fourier transform (FFT) to individual points along this line of interest to capitalize on the pulse's thermal propagation effect. Finally, we use an adaptive estimation function on the average FFT outcome to quantify the pulse. We have carried out experiments on a data set of 34 subjects and compared the pulse computed from our thermal signal analysis method to concomitant ground-truth measurements obtained through a standard contact sensor (piezo-electric transducer). The performance of the new method ranges from 88.52% to 90.33% depending on the clarity of the vessel's thermal imprint. To the best of our knowledge, it is the first time that cardiac pulse has been measured several feet away from a subject with passive means.",
keywords = "Adaptive filtering, Cardiac pulse, Fast Fourier transform (FFT), Medical imaging, Thermal imaging",
author = "Marc Garbey and Nanfei Sun and Arcangelo Merla and Ioannis Pavlidis",
note = "Funding Information: Manuscript received February 21, 2006; revised November 29, 2006. This work was supported in part by the National Science Foundation (NSF) under Grant IIS-0414754. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agency. M. Garbey and N. Sun are with the Department of Computer Science, University of Houston, Houston, TX 77204-0101 USA. *I. Pavlidis is with the Department of Computer Science, University of Houston, Houston, TX 77204-0101 USA (e-mail: ipavlidi@central.uh.edu). A. Merla is with the Department of Clinical Sciences and Bioimaging, Fon-dazione Universit{\`a} Gabriele d{\textquoteright}Annunzio - Chieti, 66100 Chieti, Italy. Digital Object Identifier 10.1109/TBME.2007.891930 Funding Information: Research activity involving human subjects has been reviewed and approved by the University of Houston Committee for the Protection of Human Subjects. The authors would like to thank all the volunteer subjects who participated in their test population. They would also like to thank Dr. E. Glinert from the National Science Foundation (NSF) for his support and encouragement in this nascent technology effort. Equally, they would like to thank Dr. J. Levine from the Mayo Graduate School of Medicine for his valuable feedback. Funding Information: While at the University of Houston, his research was supported by the National Science Foundation. His research interests include thermal imaging, computer vision, pattern recognition, and digital signal processing. Copyright: Copyright 2009 Elsevier B.V., All rights reserved.",
year = "2007",
month = aug,
doi = "10.1109/TBME.2007.891930",
language = "English (US)",
volume = "54",
pages = "1418--1426",
journal = "IEEE Transactions on Biomedical Engineering",
issn = "0018-9294",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "8",
}