EIS: A wearable device for epidermal pressure sensing

Zijie Zhu, Ruya Li, Tingrui Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The development of epidermal electronics provides an enabling means for continuous monitoring of physiological signals and physical activities without affecting the quality of life. Such devices require high sensitivity for low-magnitude signal detection, noise reduction for motion artifacts, wearability for long-term comfort, and low-cost production for scalable manufacturing. However, the current epidermal pressure sensing devices, usually involving complex multilayer structures, have not fully addressed the aforementioned challenges. In this paper, we have presented a novel epidermal iontronic sensing (EIS) device, that is, a novel wearable pressure sensor with a single-sided configuration and reversible attachability to human skin. Notably, incorporating skin as part of the sensing architecture, the EIS devices offer an excellent pressure sensitivity (5 nF/kPa), an ultrafast mechanical response (in a sub-millisecond range), and a good long-term stability (>10,000) for both internal (body) and external (environment) mechanical stimuli. Demonstrations of its versatile application to wearable scenarios include measuring blood pressure pulsations, monitoring respiration rates, tracking muscle activities, and digitalizing hand palpation and gripping.

Original languageEnglish (US)
Title of host publicationIEEE Haptics Symposium, HAPTICS 2018 - Proceedings
EditorsYon Visell, Katherine J. Kuchenbecker, Gregory J. Gerling
PublisherIEEE Computer Society
Pages1-6
Number of pages6
Volume2018-March
ISBN (Electronic)9781538654248
DOIs
StatePublished - May 9 2018
Event2018 IEEE Haptics Symposium, HAPTICS 2018 - San Francisco, United States
Duration: Mar 25 2018Mar 28 2018

Other

Other2018 IEEE Haptics Symposium, HAPTICS 2018
CountryUnited States
CitySan Francisco
Period3/25/183/28/18

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

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