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Quantifying throwing load in handball: a method for measuring the number of throws.
Skejø, Sebastian Deisting; Liaghat, Behnam; Jakobsen, Claes Christian; Møller, Merete; Bencke, Jesper; Papi, Giovanni; Kunwald, Nikolaj Pelle; Sørensen, Henrik.
Afiliação
  • Skejø SD; Department of Public Health, Aarhus University, Aarhus, Denmark.
  • Liaghat B; Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
  • Jakobsen CC; CC Athletics ApS, Odense, Denmark.
  • Møller M; Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
  • Bencke J; Human Movement Analysis Laboratory, Department of Orthopaedic Surgery, Copenhagen University Hospital at Amager-Hvidovre, Hvidovre, Denmark.
  • Papi G; Department of Public Health, Aarhus University, Aarhus, Denmark.
  • Kunwald NP; Department of Public Health, Aarhus University, Aarhus, Denmark.
  • Sørensen H; Department of Public Health, Aarhus University, Aarhus, Denmark.
Sports Biomech ; : 1-12, 2021 Jul 23.
Article em En | MEDLINE | ID: mdl-34294020
ABSTRACT
Shoulder injuries are a common problem in handball. One likely cause of such injuries is excessive throwing. However, it is difficult to measure the number of player throws in large cohort studies using existing methods accurately. Therefore, the purpose of this study is to develop and validate a method for identifying overhead throws using a low-cost inertial measurement unit (IMU) worn on the wrist. In a two-stage approach, we developed a threshold-based automatic identification method for overhead throws in a laboratory study using the IMU. Subsequently, we validated the suggested thresholds in a field setting by comparing throws identified by the threshold-method to throws identified by video recordings of handball practices. The best set of threshold values resulted in a per-player median sensitivity of 100% (range 84-100%) and a median positive predictive value (PPV) of 96% (range 86-100%) in the development study. In the validation study, the per-player median sensitivity dropped to 78% sensitivity (range 52-91%), while the per-player median PPV dropped to 79% (range 47-90%). The proposed method is a promising method for automatically identifying handball throws in a cheap and feasible way.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Risk_factors_studies Idioma: En Revista: Sports Biomech Assunto da revista: MEDICINA ESPORTIVA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Dinamarca

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Risk_factors_studies Idioma: En Revista: Sports Biomech Assunto da revista: MEDICINA ESPORTIVA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Dinamarca
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