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Accurate estimation of peak vertical ground reaction force using the duty factor in level treadmill running.
Patoz, Aurélien; Lussiana, Thibault; Breine, Bastiaan; Gindre, Cyrille; Malatesta, Davide.
Afiliación
  • Patoz A; Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland.
  • Lussiana T; Research and Development Department, Volodalen Swiss Sport Lab, Aigle, Switzerland.
  • Breine B; Research and Development Department, Volodalen Swiss Sport Lab, Aigle, Switzerland.
  • Gindre C; Research and Development Department, Volodalen, Chavéria, France.
  • Malatesta D; Research Unit EA3920 Prognostic Markers and Regulatory Factors of Cardiovascular Diseases and Exercise Performance, Health, Innovation Platform, University of Franche-Comté, Besançon, France.
Scand J Med Sci Sports ; 33(2): 169-177, 2023 Feb.
Article en En | MEDLINE | ID: mdl-36310520
ABSTRACT
This study aimed to (1) construct a statistical model (SMM) based on the duty factor (DF) to estimate the peak vertical ground reaction force ( F v , max ) and (2) to compare the estimated F v , max to force plate gold standard (GSM). One hundred and fifteen runners ran at 9, 11, and 13 km/h. Force (1000 Hz) and kinematic (200 Hz) data were acquired with an instrumented treadmill and an optoelectronic system, respectively, to assess force-plate and kinematic based DFs. SMM linearly relates F v , max to the inverse of DF because DF was analytically associated with the inverse of the average vertical force during ground contact time and the latter was very highly correlated to F v , max . No systematic bias and a 4% root mean square error (RMSE) were reported between GSM and SMM using force-plate based DF values when considering all running speeds together. Using kinematic based DF values, SMM reported a systematic but small bias (0.05BW) and a 5% RMSE when considering all running speeds together. These findings support the use of SMM to estimate F v , max during level treadmill runs at endurance speeds if underlying DF values are accurately measured.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Carrera Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Scand J Med Sci Sports Asunto de la revista: MEDICINA ESPORTIVA Año: 2023 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Carrera Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Scand J Med Sci Sports Asunto de la revista: MEDICINA ESPORTIVA Año: 2023 Tipo del documento: Article País de afiliación: Suiza