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Wireless batteryless soft sensors for ambulatory cardiovascular health monitoring

  • Matthew Guess
    ,
  • Ira Soltis
    ,
  • Bruno Rigo
    ,
  • ,
  • Sara Kapasi
    ,
  • Hyeonseok Kim
*Corresponding author for this work
  • Georgia Institute of Technology
    ,
  • School of Electrical and Computer Engineering
    ,
  • IEN Center for Human-Centric Interfaces and Engineering
    ,
  • Wallace H. Coulter Department of Biomedical Engineering
Research Output:
Contribution to journal
Article
Peer-review

Open access

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.

Sustainable Development Goals

  • SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Bibliographic Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Article number

23

Journal (Volume, Issue Number)

Soft Science (Volume 3, Issue 3)

Publication milestones

  • Published - 2023

Publication status

Published - 2023

Publication IDs

  • Scopus: 85171546075