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Fatigue Testing of Wearable Sensing Technologies: Issues and Opportunities.
Persons, Andrea Karen; Ball, John E; Freeman, Charles; Macias, David M; Simpson, Chartrisa LaShan; Smith, Brian K; Burch V, Reuben F.
Affiliation
  • Persons AK; Department of Agricultural and Biological Engineering, Mississippi State University, 130 Creelman Street, Starkville, MS 39762, USA.
  • Ball JE; Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, 200 Research Boulevard, Starkville, MS 39759, USA.
  • Freeman C; Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, 200 Research Boulevard, Starkville, MS 39759, USA.
  • Macias DM; Department of Electrical and Computer Engineering, Mississippi State University, 406 Hardy Road, Starkville, MS 39762, USA.
  • Simpson CL; School of Human Sciences, Mississippi State University, 255 Tracy Drive, Starkville, MS 39762, USA.
  • Smith BK; Department of Kinesiology, Mississippi State University, P.O. Box 6186, Starkville, MS 39762, USA.
  • Burch V RF; Columbus Orthopaedic Clinic, 670 Leigh Drive, Columbus, MS 39705, USA.
Materials (Basel) ; 14(15)2021 Jul 21.
Article in En | MEDLINE | ID: mdl-34361264
ABSTRACT
Standards for the fatigue testing of wearable sensing technologies are lacking. The majority of published fatigue tests for wearable sensors are performed on proof-of-concept stretch sensors fabricated from a variety of materials. Due to their flexibility and stretchability, polymers are often used in the fabrication of wearable sensors. Other materials, including textiles, carbon nanotubes, graphene, and conductive metals or inks, may be used in conjunction with polymers to fabricate wearable sensors. Depending on the combination of the materials used, the fatigue behaviors of wearable sensors can vary. Additionally, fatigue testing methodologies for the sensors also vary, with most tests focusing only on the low-cycle fatigue (LCF) regime, and few sensors are cycled until failure or runout are achieved. Fatigue life predictions of wearable sensors are also lacking. These issues make direct comparisons of wearable sensors difficult. To facilitate direct comparisons of wearable sensors and to move proof-of-concept sensors from "bench to bedside", fatigue testing standards should be established. Further, both high-cycle fatigue (HCF) and failure data are needed to determine the appropriateness in the use, modification, development, and validation of fatigue life prediction models and to further the understanding of how cracks initiate and propagate in wearable sensing technologies.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Materials (Basel) Year: 2021 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Materials (Basel) Year: 2021 Document type: Article Affiliation country: United States