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Fatigue Testing of Wearable Sensing Technologies: Issues and Opportunities
Andrea Karen Persons1,2, John E Ball2,3, Charles Freeman4
1Department of Agricultural and Biological Engineering, Mississippi State University, 130 Creelman Street, Starkville, MS 39762, USA.
Materials (Basel, Switzerland)
|August 7, 2021
Summary
Establishing fatigue testing standards for wearable sensors is crucial. Current methods lack consistency, hindering comparisons and the development of reliable fatigue life predictions for these flexible electronic devices.
Area of Science:
- Materials Science
- Biomedical Engineering
- Mechanical Engineering
Background:
- Wearable sensing technologies require robust fatigue testing standards, which are currently lacking.
- Existing fatigue tests often focus on proof-of-concept stretch sensors, using diverse materials like polymers, textiles, and nanomaterials.
- Variations in materials and testing methodologies complicate sensor comparisons and reliability assessments.
Purpose of the Study:
- To highlight the absence of standardized fatigue testing protocols for wearable sensors.
- To emphasize the need for consistent methodologies to enable direct comparison of different wearable sensor technologies.
- To advocate for the establishment of standards to facilitate the transition of wearable sensors from research to clinical application.
Main Methods:
- Review of existing fatigue testing approaches for wearable sensors, noting a focus on low-cycle fatigue (LCF).
- Identification of material variations (polymers, textiles, carbon nanotubes, graphene, conductive inks) influencing sensor fatigue behavior.
- Assessment of the limited availability of failure data and high-cycle fatigue (HCF) testing in current research.
Main Results:
- Significant lack of standardized fatigue testing procedures for wearable sensors.
- Predominance of LCF testing, with insufficient data on sensor failure or runout.
- Absence of comprehensive fatigue life predictions for wearable sensor technologies.
Conclusions:
- Standardized fatigue testing is essential for reliable comparison and development of wearable sensors.
- Further research incorporating HCF and failure data is needed for validating predictive models.
- Establishing standards will accelerate the clinical translation of advanced wearable sensing technologies.

