Smart and Connected Physiological Monitoring Enabled by Stretchable Bioelectronics and Deep-Learning Algorithm

Musa Mahmood, Young Tae Kwon, Yun Soung Kim, Jongsu Kim, Woon Hong Yeo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Commercially available, wearable physiological monitors rely on rigid, multiple electronic components, coupled with aggressive adhesives and conductive gels, often causing discomfort and skin breakdown. Here, we introduce an all-in-one, wireless, stretchable bioelectronics platform for portable, real-time physiological monitoring and accurate classification biopotentials, including electrocardiograms (ECG), electroencephalograms (EEG), and electromyograms (EMG). The nanomembrane sensor and multi-layered electronic system is manufactured by integration of microfabrication techniques, aerosol jet printing of nanoparticles, photonic sintering, and hard-soft materials assembly. Strategic integration with hyperelastic elastomers allows the device to adhere and deform naturally with human body while maintaining the functionalities of the on-board electronics. Stretchable electrodes with optimized structures for intimate skin contact acquire high-quality biopotentials. Comparison of those signals with commercial systems captures the improved performance and significant noise reduction of the stretchable bioelectronics. Implementation of convolutional neural networks for real-time classifications of ECG, EMG, EEG and inertial measurement data demonstrates the feasibility for precise control of external systems. In vivo demonstrations with human subjects in various scenarios reveal the versatility of the device as both a health monitor with real-time cardiac monitoring and a viable human-machine interface.

Original languageEnglish
Title of host publicationProceedings - IEEE 70th Electronic Components and Technology Conference, ECTC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages979-984
Number of pages6
ISBN (Electronic)9781728161808
DOIs
StatePublished - Jun 2020
Externally publishedYes
Event70th IEEE Electronic Components and Technology Conference, ECTC 2020 - Orlando, United States
Duration: 3 Jun 202030 Jun 2020

Publication series

NameProceedings - Electronic Components and Technology Conference
Volume2020-June
ISSN (Print)0569-5503

Conference

Conference70th IEEE Electronic Components and Technology Conference, ECTC 2020
Country/TerritoryUnited States
CityOrlando
Period3/06/2030/06/20

Keywords

  • Stretchable bioelectronics
  • deep learning
  • human-machine interfaces
  • physiological monitoring
  • wearable electronics

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