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Giant Magnetoelastic Effect Enabled Stretchable Sensor for Self-Powered Biomonitoring.
Xun Zhao1, Guorui Chen1, Yihao Zhou1
1Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States.
ACS Nano
|April 13, 2022
Summary
This study introduces a waterproof, stretchable biomechanical sensor for healthcare. The self-powered device uses a giant magnetoelastic effect for accurate cardiovascular monitoring in wearable and implantable applications.
Area of Science:
- Materials Science
- Biomedical Engineering
- Soft Robotics
Background:
- Wearable and implantable bioelectronics face challenges in humidity resistance, stretchability, durability, and biocompatibility, hindering clinical adoption.
- Existing devices often require external power sources and lack robust performance in physiological environments.
Purpose of the Study:
- To develop a self-powered, waterproof biomechanical sensor with enhanced stretchability and durability for reliable biomonitoring.
- To demonstrate the sensor's capability for cardiovascular monitoring and disease diagnosis using the giant magnetoelastic effect.
Main Methods:
- Fabrication of a soft polymer-based sensor utilizing the giant magnetoelastic effect.
- Manipulation of magnetic dipole alignment to achieve a wide sensing range and rapid response time.
- Validation through ex vivo porcine heart testing and in vivo Sprague-Dawley rat models for cardiovascular monitoring.
Main Results:
- The sensor exhibits 440% stretchability and operates across an ultrawide sensing range (3.5 Pa to 2000 kPa) with a response time of ~3 ms.
- Successful detection of ventricular arrhythmia and fibrillation in a rat model, demonstrating effective cardiovascular monitoring.
- The sensor shows minimal hysteresis, waterproofness, and biocompatibility.
Conclusions:
- The developed magnetoelastic sensor offers a robust, self-powered platform for advanced biomonitoring.
- Its unique properties address key limitations of current bioelectronic devices for both wearable and implantable applications.
- This technology holds significant potential for improved healthcare monitoring and diagnostics.

