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International Journal of Antennas and Propagation
Volume 2017 (2017), Article ID 4803752, 6 pages
Research Article

Cardiorespiratory Frequency Monitoring Using the Principal Component Analysis Technique on UWB Radar Signal

Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Rome, Italy

Correspondence should be addressed to Erika Pittella

Received 4 September 2016; Revised 6 January 2017; Accepted 12 February 2017; Published 2 March 2017

Academic Editor: Symeon Nikolaou

Copyright © 2017 Erika Pittella et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In this paper, Principal Component Analysis technique is applied on the signal measured by an ultra wide-band radar to compute the breath and heart rate of volunteers. The measurement set-up is based on an indirect time domain reflectometry technique, using an ultra wide-band antenna in contact with the subject’s thorax, at the heart height, and a vector network analyzer. The Principal Component Analysis is applied on the signal reflected by the thorax and the obtained breath frequencies are compared against measures acquired by a piezoelectric belt, a widely used commercial system for respiratory activity monitoring. Breath frequency results show that the proposed approach is suitable for breath activity monitoring. Moreover, the wearable ultra wide-band radar gives also promising results for heart activity frequency detection.