Literature DB >> 28084864

Inverse Dynamics Modeling of Paralympic Wheelchair Curling.

Brock Laschowski1, Naser Mehrabi1, John McPhee1.   

Abstract

Paralympic wheelchair curling is an adapted version of Olympic curling played by individuals with spinal cord injuries, cerebral palsy, multiple sclerosis, and lower extremity amputations. To the best of the authors' knowledge, there has been no experimental or computational research published regarding the biomechanics of wheelchair curling. Accordingly, the objective of the present research was to quantify the angular joint kinematics and dynamics of a Paralympic wheelchair curler throughout the delivery. The angular joint kinematics of the upper extremity were experimentally measured using an inertial measurement unit system; the translational kinematics of the curling stone were additionally evaluated with optical motion capture. The experimental kinematics were mathematically optimized to satisfy the kinematic constraints of a subject-specific multibody biomechanical model. The optimized kinematics were subsequently used to compute the resultant joint moments via inverse dynamics analysis. The main biomechanical demands throughout the delivery (ie, in terms of both kinematic and dynamic variables) were about the hip and shoulder joints, followed sequentially by the elbow and wrist. The implications of these findings are discussed in relation to wheelchair curling delivery technique, musculoskeletal modeling, and forward dynamic simulations.

Entities:  

Keywords:  biomechanical modeling; inertial measurement units; kinematic constraints; multibody dynamics; optical motion capture; sports biomechanics

Mesh:

Year:  2017        PMID: 28084864     DOI: 10.1123/jab.2016-0143

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  2 in total

Review 1.  Wearable Sensors in Sports for Persons with Disability: A Systematic Review.

Authors:  Lorenzo Rum; Oscar Sten; Eleonora Vendrame; Valeria Belluscio; Valentina Camomilla; Giuseppe Vannozzi; Luigi Truppa; Marco Notarantonio; Tommaso Sciarra; Aldo Lazich; Andrea Mannini; Elena Bergamini
Journal:  Sensors (Basel)       Date:  2021-03-07       Impact factor: 3.576

2.  The Proper Motor Control Model Revealed by Wheelchair Curling Quantification of Elite Athletes.

Authors:  Xiangdong Wang; Ruijiao Liu; Tian Zhang; Gongbing Shan
Journal:  Biology (Basel)       Date:  2022-01-23
  2 in total

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