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A Wearable System Featuring Biomimetic Spatially Distributed Iontronic Sensing Array for Dynamic Monitoring of Deep

Zhenning Wang1,2, Chaohua Fang3, Ruoyu Sun1,2

  • 1School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230026, P. R. China.

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|November 25, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a wearable system for dynamic muscle hardness monitoring. The device accurately measures tissue elasticity, aiding in disease diagnosis and performance tracking.

Keywords:
biomechanicsflexible electronicshealth monitoringmuscle hardnesswearable sensor

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Area of Science:

  • Biomedical Engineering
  • Wearable Technology
  • Soft Tissue Mechanics

Background:

  • Assessing soft tissue hardness is crucial for disease diagnosis and monitoring movement.
  • Current methods are limited to skin-level and static measurements, failing to capture deep tissue dynamics.

Purpose of the Study:

  • To introduce a wearable system for dynamic monitoring of Young's modulus in multilayer tissues, including deep muscle.
  • To enable real-time, accurate estimation of tissue elasticity using Hertz contact theory.

Main Methods:

  • Development of a wearable system (DMYD) integrating iontronic sensing arrays and a load sensor.
  • Utilizing a simulation-informed indentation strategy for accurate measurements in deep, multilayer tissues.
  • Employing Hertz contact theory for real-time modulus estimation based on captured contact force and radius.

Main Results:

  • DMYD demonstrated high accuracy (>93%) in in vitro experiments, with dynamic operation and robustness to environmental factors.
  • Measurements in postoperative patients correlated strongly with clinical edema indicators.
  • In healthy users, the system tracked task-dependent muscle hardness dynamics during various physical activities.

Conclusions:

  • DMYD offers a promising platform for personalized, home-based disease management and performance evaluation.
  • The technology can potentially aid in injury-risk warnings and optimizing training strategies.
  • This wearable system overcomes limitations of existing technologies for deep muscle dynamic monitoring.