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Guess et al. Soft Sci 2023;3:23                                           Soft Science
               DOI: 10.20517/ss.2023.17



               Research Article                                                              Open Access



               Wireless batteryless soft sensors for ambulatory

               cardiovascular health monitoring


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               Matthew Guess , Ira Soltis , Bruno Rigo , Nathan Zavanelli , Sara Kapasi , Hyeonseok Kim , Woon-
               Hong Yeo 1,2,4,5,*
               1
                George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
               2
                IEN Center for Human-Centric Interfaces and Engineering, Institute for Electronics and Nanotechnology, Georgia Institute of
               Technology, Atlanta, GA 30332, USA.
               3
                School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
               4
                Wallace H. Coulter Department of Biomedical Engineering, Georgia Tech and Emory University School of Medicine, Atlanta, GA
               30332, USA.
               5
                Parker H. Petit Institute for Bioengineering and Biosciences, Neural Engineering Center, Institute for Materials, Institute for
               Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA 30332, USA.
               * Correspondence to: Dr. Woon-Hong Yeo, George W. Woodruff School of Mechannical Engineering and IEN Center for Human-
               Centric Interfaces and Engineering, Institute for Electronics and Nanotechnology, Georgia Institute of Technology, 791 Atlantic
               Drive NW #204, Atlanta, GA 30332, USA. E-mail: whyeo@gatech.edu
               How to cite this article: Guess M, Soltis I, Rigo B, Zavanelli N, Kapasi S, Kim H, Yeo WH. Wireless batteryless soft sensors for
               ambulatory cardiovascular health monitoring. Soft Sci 2023;3:23. https://dx.doi.org/10.20517/ss.2023.17
               Received: 17 Apr 2023  First Decision: 11 May 2023  Revised: 23 May 2023   Accepted: 1 Jun 2023   Published: 10 Jul 2023
               Academic Editors: Dae-Hyeong Kim, Zhifeng Ren  Copy Editor: Dong-Li Li  Production Editor: Dong-Li Li

               Abstract
               Seismocardiography (SCG) is the measure of local vibrations in the chest due to heartbeats. Typically, SCG signals
               are measured using rigid integrated circuit (IC) accelerometers and bulky electronics. However, as alternatives,
               recent studies of emerging flexible sensors show promise. Here, we introduce the development of wireless soft
               capacitive sensors that require no battery or rigid IC components for measuring SCG signals for cardiovascular
               health monitoring. Both the capacitive and inductive components of the circuit are patterned with laser
               micromachining of a polyimide-coated copper and are encapsulated with an elastomer. The wearable soft sensor
               can detect small strain changes on the skin, which is wirelessly measured by examining the power reflected from
               the antenna at a stimulating frequency. The performance of the device is verified by comparing the fiducial points
               to SCG measured by a commercial accelerometer and electromyograms from a commercial electrode. Overall, the
               human subject study demonstrates that the fiducial points are consistent with data from commercial devices,
               showing the potential of the ultrathin soft sensors for ambulatory cardiovascular monitoring without bulky
               electronics and rigid components.

               Keywords: Soft sensor, capacitive strain sensor, passive wireless, laser micromachining, LC resonance sensor,
               ambulatory monitoring, cardiovascular health



                           © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing,
                           adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as
               long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
               indicate if changes were made.

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