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Soft wireless sternal patch to detect systemic vasoconstriction using photoplethysmography

  • ,
  • Sung Hoon Lee
    ,
  • Matthew Guess
    ,
  • Woon Hong Yeo(corresponding author)
*Corresponding author for this work
  • Georgia Institute of Technology
    ,
  • IEN Center for Human-Centric Interfaces and Engineering at the Institute for Electronics and Nanotechnology
    ,
  • School of Electrical and Computer Engineering
    ,
  • Wallace H. Coulter Department of Biomedical Engineering
Research Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

Vasoconstriction is a crucial physiological process that serves as the body's primary blood pressure regulation mechanism and a key marker of numerous harmful health conditions. The ability to detect vasoconstriction in real time would be crucial for detecting blood pressure, identifying sympathetic arousals, characterizing patient wellbeing, detecting sickle cell anemia attacks early, and identifying complications caused by hypertension medications. However, vasoconstriction manifests weakly in traditional photoplethysmogram (PPG) measurement locations, like the finger, toe, and ear. Here, we report a wireless, fully integrated, soft sternal patch to capture PPG signals from the sternum, an anatomical region that exhibits a robust vasoconstrictive response. With healthy controls, the device is highly capable of detecting vasoconstriction induced endogenously and exogenously. Furthermore, in overnight trials with patients with sleep apnea, the device shows a high agreement (r2 = 0.74) in vasoconstriction detection with a commercial system, demonstrating its potential use in portable, continuous, long-term vasoconstriction monitoring.

Bibliographic Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Article number

106184

Journal (Volume, Issue Number)

iScience (Volume 26, Issue 3)

Publication milestones

  • Published - 17/03/2023

Publication status

Published - 17/03/2023

Publication IDs

  • Scopus: 85148853574