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      Adaptive Wavelet Scale Selection-based Method for Separating Respiration and Heartbeat in Bio-radars

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          Abstract

          Extracting periodic heartbeat signals based on the traditional Fourier transform using a noncontact bio-radar is difficult because chest displacements caused by the heart are much smaller than those caused by respiration. Normally, they can be separated using the continuous wavelet transform; however, the miniscule difference of wavelet scale selection under different conditions may influence the separation performance to some extent. To solve this problem, this study proposes a method based on signal-to-noise ratio calibration to adaptively select the Morletdyadic wavelet scales and then separate the heartbeat signal from the respiration one using the selected scales, which can be applied to detect vital signs of different conditions. The experimental results have exhibited the accuracy and feasibility of the proposed method.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 October 2016
          : 5
          : 5
          : 462-469
          Affiliations
          [1 ] (College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)
          Article
          544d6cd78a274aa4bbb87daa00317061
          10.12000/JR16103

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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