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Journal of Sensors - Volume 2017 2017, Article ID 1752560, 9 pages - https:-doi.org-10.1155-2017-1752560

Research Article

College of Information Science and Engineering, Northeastern University, Shenyang 110819, China

College of Computer Science and Information Engineering, Northeastern University, Shenyang 110819, China

Correspondence should be addressed to Dan Yang

Received 6 December 2016; Revised 14 April 2017; Accepted 16 May 2017; Published 14 June 2017

Academic Editor: Giorgio Pennazza

Copyright © 2017 Dan Yang 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.

Abstract

Cardiopulmonary signal contains vital and rich physiological information, which is very useful for clinical diagnosis and home healthcare. Convectional monitoring methods still need uncomfortable sensors or are expensive for nonprofessional common consumers. In this paper, we proposed a cardiopulmonary signal detection method based on electromagnetic induction. Based on thoracic volume variation affecting the biological impedance, which can be detected by magnetic induction, our idea is to develop a not complicated and practical measuring platform and exploit the intrinsic properties of cardiopulmonary signals with respiratory and heart rate. We have some theoretical analysis about the relationship of thoracic volume with biological impedance, sensor-head parameters, and the optimal measuring position. Then a whole measuring system has been designed and evaluated. The respiratory and heart rate obtained from the proposed method are not significantly different from the reference method noncontact BCG.





Author: Dan Yang, Bin Xu, Hongyu Qiao, and Xu Wang

Source: https://www.hindawi.com/



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