Article
Version 3
Preserved in Portico This version is not peer-reviewed
Short-Range Vital Signs Sensing Based on EEMD and CWT Using IR-UWB Radar
Version 1
: Received: 25 August 2016 / Approved: 25 August 2016 / Online: 25 August 2016 (08:57:22 CEST)
Version 2 : Received: 15 September 2016 / Approved: 15 September 2016 / Online: 15 September 2016 (11:24:00 CEST)
Version 3 : Received: 9 November 2016 / Approved: 10 November 2016 / Online: 10 November 2016 (07:13:01 CET)
Version 2 : Received: 15 September 2016 / Approved: 15 September 2016 / Online: 15 September 2016 (11:24:00 CEST)
Version 3 : Received: 9 November 2016 / Approved: 10 November 2016 / Online: 10 November 2016 (07:13:01 CET)
A peer-reviewed article of this Preprint also exists.
Hu, X.; Jin, T. Short-Range Vital Signs Sensing Based on EEMD and CWT Using IR-UWB Radar. Sensors 2016, 16, 2025. Hu, X.; Jin, T. Short-Range Vital Signs Sensing Based on EEMD and CWT Using IR-UWB Radar. Sensors 2016, 16, 2025.
Abstract
The radar sensor described realizes healthcare monitoring capable of detecting subject chest-wall movement caused by cardiopulmonary activities, and wirelessly estimating the respiration and heartbeat rates of the subject without attaching any devices to the body. Conventional single-tone Doppler radar can only capture Doppler signatures because of a lack of bandwidth information with noncontact sensors. In contrast, we take full advantage of impulse radio ultra-wideband (IR-UWB) radar to achieve low power consumption and convenient portability, with a flexible detection range and desirable accuracy. A noise reduction method based on improved ensemble empirical mode decomposition (EEMD) and a vital sign separation method based on the continuous-wavelet transform (CWT) are proposed jointly to improve the signal-to-noise ratio (SNR) in order to acquire accurate respiration and heartbeat rates. Experimental results illustrate that respiration and heartbeat signals can be extracted accurately under different conditions. This noncontact healthcare sensor system proves the commercial feasibility and considerable accessibility of using compact IR-UWB radar for emerging biomedical applications.
Keywords
impulse radio ultra-wideband (IR-UWB) radar; noncontact; short-range; vital signs; ensemble empirical mode decomposition (EEMD); continuous-wavelet transform (CWT)
Subject
Engineering, Electrical and Electronic Engineering
Copyright: 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.
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