All-day mobile healthcare monitoring system based on heterogeneous stretchable sensors for medical emergency

Sungho Lee, Srinivas Gandla, Muhammad Naqi, Uihyun Jung, Hyungsoon Youn, Dogi Pyun, Yumie Rhee, Sunju Kang, Hyuk Jun Kwon, Heejung Kim, Min Goo Lee, Sunkook Kim

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Epidermal and wearable electronic sensor technologies have gained extensive interest in recent years owing to deliver real-time healthcare information to the personalized smartphone. Herein, we proposed a fully integrated wearable smart patch-based sensor system with Kirigami-inspired strain-free deformable structures having temperature and humidity sensors along with a commercial acceleration sensor. The presented fully integrated wearable sensor system easily attaches to the skin to accurately determine the body information, and integrated circuit including read-out circuit and wireless communication transfer medical information (temperature, humidity, and motion) to mobile phone to assist with emergencies due to 'unpredictable' deviations and to aid in medical checkups for vulnerable patients. This article addresses the challenge of all-day continuous monitoring of human body biological signals by introducing the well-equipped breathable (water permeability 80 gm-1 h-1), excellent adhesion to the skin (peel strength < 200 gf/12 mm), biocompatible, and conformable smart patch that can absorb the moisture (sweat) generated from the skin without any harshness and allowing the users' to continuously monitor the early detection of diagnosis. Furthermore, the proposed patch-based medical device enables wireless sensing capabilities in response to rapid variation, equipped with a customized circuit design, low-power Bluetooth module, and a signal processing integrated circuit mounted on a flexible printed circuit board. Thus, a unique platform is established for multifunctional sensors to interface with hard electronics, providing emerging opportunities in the biomedical field as well as Internet-of-Things applications.

Original languageEnglish
Article number8894170
Pages (from-to)8808-8816
Number of pages9
JournalIEEE Transactions on Industrial Electronics
Volume67
Issue number10
DOIs
Publication statusPublished - 2020 Oct

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea under Grant NRF-2018R1D1A1B07048232, Grant 2015R1A1A1A05027488, Grant 2014M 3A9D7070732, and Grant 2016M3A9F1941829, and in part by Ministry of Trad, Industry and Energy (MOTIE) and Korea Evaluation (10079571).

Funding Information:
Manuscript received May 2, 2019; revised August 16, 2019; accepted October 6, 2019. Date of publication November 7, 2019; date of current version June 3, 2020. This work was supported in part by the National Research Foundation of Korea under Grant NRF-2018R1D1A1B07048232, Grant 2015R1A1A1A05027488, Grant 2014M 3A9D7070732, and Grant 2016M3A9F1941829, and in part by Ministry of Trad, Industry and Energy (MOTIE) and Korea Evaluation (10079571). (Sungho Lee, Srinivas Gandla, Muhammad Naqi, and Ui-hyun Jung contributed equally to this work.) (Corresponding authors: Hyuk-Jun Kwon; Heejung Kim; Min Goo Lee; Sunkook Kim.) S. Lee and M. G. Lee are with the Korea Electronics Technology Institute, Seongnam 13509, South Korea (e-mail: 2sungho@gmail.com; emingoo@keti.re.kr).

Publisher Copyright:
© 1982-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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