Literature DB >> 30175947

Elbow joint kinematics during cricket bowling using magneto-inertial sensors: A feasibility study.

Denny Wells1,2, Jacqueline Alderson1, Valentina Camomilla3,4, Cyril Donnelly1, Bruce Elliott1, Andrea Cereatti4,5,6.   

Abstract

Magnetic and inertial measurement units (MIMUs) may provide an accessible, three-dimensional, in-field alternative to laboratory-restricted marker-based motion capture. Existing upper limb MIMU models have predominantly been validated with low-velocity motion and their suitability for use with sport-based movements remains relatively untested. We propose a MIMU system approach to enable the estimation of anatomically meaningful and participant-specific elbow kinematics with considerations for use with cricket bowling. A novel standardised elbow reference posture of 90 degrees flexion and 0 deg pronation, and functional definition of elbow joint axes of rotation calibrated the MIMU method model before it was validated across three experiments: (1) simple elbow rotations with a mechanical linkage; (2) low-velocity elbow rotations in human participants; and (3) low-medium velocity sport-based movements in human participants. The proposed MIMU method demonstrated high elbow kinematic measurement agreement when compared with a criterion measure across all three conditions. However, during experiment 3, sensor components neared their measurement capacity and the MIMU method elbow flexion measurement variability increased. We conclude that the proposed MIMU method can estimate anatomically referenced, participant-specific joint angles, however, the hardware specifications of currently available systems may limit application in high-velocity/acceleration situations, preventing the measurement of cricket bowling in-field for now.

Entities:  

Keywords:  Upper limb; functional calibration; inertial sensor; modelling

Mesh:

Year:  2018        PMID: 30175947     DOI: 10.1080/02640414.2018.1512845

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  4 in total

1.  Biomechanical risk factors of lower back pain in cricket fast bowlers using inertial measurement units: a prospective and retrospective investigation.

Authors:  Billy Senington; Raymond Y Lee; Jonathan M Williams
Journal:  BMJ Open Sport Exerc Med       Date:  2020-08-13

2.  Validity and reliability of inertial sensors for elbow and wrist range of motion assessment.

Authors:  Vanina Costa; Óscar Ramírez; Abraham Otero; Daniel Muñoz-García; Sandra Uribarri; Rafael Raya
Journal:  PeerJ       Date:  2020-08-11       Impact factor: 2.984

3.  Validation of Spatiotemporal and Kinematic Measures in Functional Exercises Using a Minimal Modeling Inertial Sensor Methodology.

Authors:  Benjamin R Hindle; Justin W L Keogh; Anna V Lorimer
Journal:  Sensors (Basel)       Date:  2020-08-15       Impact factor: 3.576

4.  Computer Intelligent Algorithm in the Recovery of the Elbow Joint Sports Injury Model.

Authors:  Huiyu Duan; Shenglong Xun; Yichen Bao; Gong Zhang
Journal:  J Healthc Eng       Date:  2022-01-04       Impact factor: 2.682

  4 in total

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