Literature DB >> 22303789

Subject-specific computer simulation model for determining elbow loading in one-handed tennis backhand groundstrokes.

Mark A King1, Jonathan A Glynn, Sean R Mitchell.   

Abstract

A subject-specific angle-driven computer model of a tennis player, combined with a forward dynamics, equipment-specific computer model of tennis ball-racket impacts, was developed to determine the effect of ball-racket impacts on loading at the elbow for one-handed backhand groundstrokes. Matching subject-specific computer simulations of a typical topspin/slice one-handed backhand groundstroke performed by an elite tennis player were done with root mean square differences between performance and matching simulations of < 0.5 degrees over a 50 ms period starting from ball impact. Simulation results suggest that for similar ball-racket impact conditions, the difference in elbow loading for a topspin and slice one-handed backhand groundstroke is relatively small. In this study, the relatively small differences in elbow loading may be due to comparable angle-time histories at the wrist and elbow joints with the major kinematic differences occurring at the shoulder. Using a subject-specific angle-driven computer model combined with a forward dynamics, equipment-specific computer model of tennis ball-racket impacts allows peak internal loading, net impulse, and shock due to ball-racket impact to be calculated which would not otherwise be possible without impractical invasive techniques. This study provides a basis for further investigation of the factors that may increase elbow loading during tennis strokes.

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Year:  2011        PMID: 22303789     DOI: 10.1080/14763141.2011.629306

Source DB:  PubMed          Journal:  Sports Biomech        ISSN: 1476-3141            Impact factor:   2.832


  2 in total

Review 1.  Performance factors related to the different tennis backhand groundstrokes: a review.

Authors:  Cyril Genevois; Machar Reid; Isabelle Rogowski; Miguel Crespo
Journal:  J Sports Sci Med       Date:  2015-03-01       Impact factor: 2.988

2.  Evaluation of a computational model to predict elbow range of motion.

Authors:  Ryan T Willing; Masao Nishiwaki; James A Johnson; Graham J W King; George S Athwal
Journal:  Comput Aided Surg       Date:  2014-05-19
  2 in total

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