Literature DB >> 34173966

Validity and reliability of innovative field measurements of tibial accelerations and spinal kinematics during cricket fast bowling.

Billy Senington1, Raymond Y Lee2, Jonathan Mark Williams3.   

Abstract

The use of inertial sensors in fast bowling analysis may offer a cheaper and portable alternative to current methodologies. However, no previous studies have assessed the validity and reliability of such methods. Therefore, this study aimed to assess the validity and reliability of collecting tibial accelerations and spinal kinematics using inertial sensors during in vivo fast bowling. Thirty-five elite male fast bowlers volunteered for this study. An accelerometer attached to the skin over the tibia was used to determine impacts and inertial sensors over the S1, L1 and T1 spinous processes used to derive the relative kinematics. These measurements were compared to optoelectronic and force plate data for validity analysis. Most acceleration and kinematics variables measured report significant correlations > 0.8 with the corresponding gold standard measurement, with intraclass correlation coefficients greater than 0.7. Low standard error of measurement and consequently small minimum detectable change (MDC) values were also observed. This study demonstrates that inertial sensors are as valid and reliable as current methods of fast bowling analysis and may provide some advantages over traditional methods. The novel metrics and methods described in this study may aid coaches and practitioners in the design and monitoring of fast bowling technique. Graphical abstract illustrating the synopsis of the findings from this paper.
© 2021. The Author(s).

Entities:  

Keywords:  Accelerometer; Inertial sensors; Reliability; Spine; Tibia

Year:  2021        PMID: 34173966     DOI: 10.1007/s11517-021-02381-3

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  43 in total

1.  A new formulation of the coefficient of multiple correlation to assess the similarity of waveforms measured synchronously by different motion analysis protocols.

Authors:  Alberto Ferrari; Andrea Giovanni Cutti; Angelo Cappello
Journal:  Gait Posture       Date:  2010-03-29       Impact factor: 2.840

2.  Three-dimensional lumbar segment kinetics of fast bowling in cricket.

Authors:  René E D Ferdinands; Uwe Kersting; R N Marshall
Journal:  J Biomech       Date:  2009-06-11       Impact factor: 2.712

3.  Lumbo-pelvic loading during fast bowling in adolescent cricketers: the influence of bowling speed and technique.

Authors:  Helen Crewe; Amity Campbell; Bruce Elliott; Jacqueline Alderson
Journal:  J Sports Sci       Date:  2013-01-30       Impact factor: 3.337

4.  Reducing impact loading during running with the use of real-time visual feedback.

Authors:  Harrison Philip Crowell; Clare E Milner; Joseph Hamill; Irene S Davis
Journal:  J Orthop Sports Phys Ther       Date:  2010-04       Impact factor: 4.751

5.  The effect of a 12-over spell on fast bowling technique in cricket.

Authors:  A F Burnett; B C Elliott; R N Marshall
Journal:  J Sports Sci       Date:  1995-08       Impact factor: 3.337

6.  Effects of loading rate on strength of the proximal femur.

Authors:  A C Courtney; E F Wachtel; E R Myers; W C Hayes
Journal:  Calcif Tissue Int       Date:  1994-07       Impact factor: 4.333

7.  Statistical methodology for the concurrent assessment of interrater and intrarater reliability: using goniometric measurements as an example.

Authors:  M Eliasziw; S L Young; M G Woodbury; K Fryday-Field
Journal:  Phys Ther       Date:  1994-08

8.  Lumbar load in adolescent fast bowlers: A prospective injury study.

Authors:  Helen Bayne; Bruce Elliott; Amity Campbell; Jacqueline Alderson
Journal:  J Sci Med Sport       Date:  2015-03-05       Impact factor: 4.319

Review 9.  Risk Factors for Non-Contact Injury in Adolescent Cricket Pace Bowlers: A Systematic Review.

Authors:  Mitchell R L Forrest; Jeffrey J Hebert; Brendan R Scott; Stefano Brini; Alasdair R Dempsey
Journal:  Sports Med       Date:  2017-12       Impact factor: 11.136

10.  The use of inertial sensors system for human motion analysis.

Authors:  Antonio I Cuesta-Vargas; Alejandro Galán-Mercant; Jonathan M Williams
Journal:  Phys Ther Rev       Date:  2010-12
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