Title :
Imaging the cardiovascular pulse
Author :
Sun, Nanfei ; Garbey, Marc ; Merla, Arcangelo ; Pavlidis, Ioannis
Author_Institution :
Dept. of Comput. Sci., Houston Univ., TX, USA
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 propagation effect. Finally, we use an adaptive estimation function on the average FFT outcome to quantify the pulse. We have tested the accuracy of our method on 5 subjects with highly successful results. The technology is expected to find applications among others in sustained physiological monitoring of cardiopulmonary diseases, sport training, sleep studies, and psychophysiology (polygraph).
Keywords :
blood flow measurement; blood vessels; cardiovascular system; fast Fourier transforms; medical image processing; adaptive estimation function; cardiopulmonary disease; cardiovascular pulse imaging; fast Fourier transform; line-based region; physiological monitoring; polygraph; psychophysiology; pulsative blood flow; pulse propagation effect; sensitive thermal imaging system; sleep study; sport training; superficial vessels; thermal signal; Anthropometry; Blood flow; Cardiology; Data mining; Fast Fourier transforms; Frequency modulation; Humans; Pulse measurements; Pulse modulation; Temperature sensors;
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
Print_ISBN :
0-7695-2372-2
DOI :
10.1109/CVPR.2005.184