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Predicting vertical ground reaction force during running using novel piezoresponsive sensors and accelerometry.
Seeley, Matthew K; Evans-Pickett, Alyssa; Collins, Gavin Q; Tracy, James B; Tuttle, Noelle J; Rosquist, Parker G; Merrell, A Jake; Christensen, William F; Fullwood, David T; Bowden, Anton E.
Afiliação
  • Seeley MK; Department of Exercise Sciences, Brigham Young University , Provo, UT, USA.
  • Evans-Pickett A; Department of Exercise Sciences, Brigham Young University , Provo, UT, USA.
  • Collins GQ; Department of Statistics, Brigham Young University , Provo, UT, USA.
  • Tracy JB; Department of Exercise Sciences, Brigham Young University , Provo, UT, USA.
  • Tuttle NJ; Department of Exercise Sciences, Brigham Young University , Provo, UT, USA.
  • Rosquist PG; Department of Mechanical Engineering, Brigham Young University , Provo, UT, USA.
  • Merrell AJ; Department of Mechanical Engineering, Brigham Young University , Provo, UT, USA.
  • Christensen WF; Department of Statistics, Brigham Young University , Provo, UT, USA.
  • Fullwood DT; Department of Mechanical Engineering, Brigham Young University , Provo, UT, USA.
  • Bowden AE; Department of Mechanical Engineering, Brigham Young University , Provo, UT, USA.
J Sports Sci ; 38(16): 1844-1858, 2020 Aug.
Article em En | MEDLINE | ID: mdl-32449644
ABSTRACT
Running is a common exercise with numerous health benefits. Vertical ground reaction force (vGRF) influences running injury risk and running performance. Measurement of vGRF during running is now primarily constrained to a laboratory setting. The purpose of this study was to evaluate a new approach to measuring vGRF during running. This approach can be used outside of the laboratory and involves running shoes instrumented with novel piezoresponsive sensors and a standard accelerometer. Thirty-one individuals ran at three different speeds on a force-instrumented treadmill while wearing the instrumented running shoes. vGRF was predicted using data collected from the instrumented shoes, and predicted vGRF were compared to vGRF measured via the treadmill. Per cent error of the resulting predictions varied depending upon the predicted vGRF characteristic. Per cent error was relatively low for predicted vGRF impulse (2-7%), active peak vGRF (3-7%), and ground contact time (3-6%), but relatively high for predicted vGRF load rates (22-29%). These errors should decrease with future iterations of the instrumented shoes and collection of additional data from a more diverse sample. The novel technology described herein might become a feasible way to collect large amounts of vGRF data outside of the traditional biomechanics laboratory.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Corrida / Nanocompostos / Acelerometria Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: J Sports Sci Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Corrida / Nanocompostos / Acelerometria Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: J Sports Sci Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos