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Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effort

  • Jihoon Kim
    ,
  • Prakyath Kantharaju
    ,
  • Hoon Yi
    ,
  • Michael Jacobson
    ,
  • Hyungkeun Jeong
    ,
  • Hojoong Kim
*Corresponding author for this work
  • Georgia Institute of Technology
    ,
  • the University of Illinois at Chicago
    ,
  • Dongguk University, Seoul
    ,
  • Arizona State University
    ,
  • Wallace H. Coulter Department of Biomedical Engineering
Research Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

Activities and physical effort have been commonly estimated using a metabolic rate through indirect calorimetry to capture breath information. The physical effort represents the work hardness used to optimize wearable robotic systems. Thus, personalization and rapid optimization of the effort are critical. Although respirometry is the gold standard for estimating metabolic costs, this method requires a heavy, bulky, and rigid system, limiting the system’s field deployability. Here, this paper reports a soft, flexible bioelectronic system that integrates a wearable ankle-foot exoskeleton, used to estimate metabolic costs and physical effort, demonstrating the potential for real-time wearable robot adjustments based on biofeedback. Data from a set of activities, including walking, running, and squatting with the biopatch and exoskeleton, determines the relationship between metabolic costs and heart rate variability root mean square of successive differences (HRV-RMSSD) (R = −0.758). Collectively, the exoskeleton-integrated wearable system shows potential to develop a field-deployable exoskeleton platform that can measure wireless real-time physiological signals.

Bibliographic Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Article number

3

Journal (Volume, Issue Number)

npj Flexible Electronics (Volume 7, Issue 1)

Publication milestones

  • Published - 12/2023

Publication status

Published - 12/2023

Publication IDs

  • Scopus: 85146820344