Literature DB >> 30025420

Inertial Sensors are a Valid Tool to Detect and Consistently Quantify Jumping.

Rhys Spangler1, Timo Rantalainen2, Paul B Gastin1, Daniel Wundersitz3.   

Abstract

Considering the large and repetitive loads associated with jumping in team sports, automatic detection and quantification of jumping may show promise in reducing injury risks. The aim of this study was to validate commercially available inertial-movement analysis software to detect and quantify jumping in team sports. In addition, the test-retest reliability of the software to quantify jumping was assessed. Seventy-six healthy male participants completed a team sport circuit six times containing seven common movements (including three countermovement and two single-leg jumps) whilst wearing an inertial sensor (Catapult Sports, Australia). Jump detection accuracy was assessed by comparing the known number of jumps to the number recorded by the inertial movement analysis software. A further 27 participants separately performed countermovement and single-leg jumps at 33%, 66% and 100% of maximal jump height over two sessions. Jump height quantification accuracy was assessed by comparing criterion three-dimensional motion analysis-derived heights to that recorded by the inertial movement analysis software. Test-retest reliability was assessed by comparing recorded jump heights between both testing sessions. Catapult's inertial movement analysis software displayed excellent jump detection accuracy (96.9%) and test-retest jump height quantification reliability (ICC: 0.86 [countermovement jump], 0.88 [single-leg jump]). However, significant mean bias (-2.74 cm [95% LoA -10.44 - 4.96]) was observed for jump height quantification. Overall, Catapult's inertial movement analysis software appears to be a suitable method of automatically detecting jumping in team sports, and although reliable, caution is advised when using the IMA software to quantify jump height. © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2018        PMID: 30025420     DOI: 10.1055/s-0044-100793

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  5 in total

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Authors:  Aaron D Heishman; Bryce D Daub; Ryan M Miller; Eduardo D S Freitas; Michael G Bemben
Journal:  J Sports Sci Med       Date:  2020-02-24       Impact factor: 2.988

2.  Does Site Matter? Impact of Inertial Measurement Unit Placement on the Validity and Reliability of Stride Variables During Running: A Systematic Review and Meta-analysis.

Authors:  Benjamin J Horsley; Paul J Tofari; Shona L Halson; Justin G Kemp; Jessica Dickson; Nirav Maniar; Stuart J Cormack
Journal:  Sports Med       Date:  2021-03-24       Impact factor: 11.136

3.  Effect of Training and Match Loads on Hamstring Passive Stiffness in Professional Soccer Players.

Authors:  Danguole Satkunskiene; Tiago M da Silva; Sigitas Kamandulis; Nuno M C Leite; Aurelijus Domeika; Mantas Mickevicius; Audrius Snieckus
Journal:  J Musculoskelet Neuronal Interact       Date:  2020-12-01       Impact factor: 2.041

4.  Differences in External Load Variables Between Playing Positions in Elite Basketball Match-Play.

Authors:  Hugo Salazar; Julen Castellano; Luka Svilar
Journal:  J Hum Kinet       Date:  2020-10-31       Impact factor: 2.193

5.  Fatigue and Training Load Factors in Volleyball.

Authors:  Damian Pawlik; Dariusz Mroczek
Journal:  Int J Environ Res Public Health       Date:  2022-09-06       Impact factor: 4.614

  5 in total

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