Journal of Postgraduate Medicine, Education and Research

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VOLUME 54 , ISSUE 4 ( October-December, 2020 ) > List of Articles

RESEARCH ARTICLE

Noninvasive Method of Force Estimation of Lower Limb Muscles in Cricket Fast Bowlers: Can This be an Application to Minimize Potential Injury?

Subham Badhyal, Abhishek K Tiwari, Sidak Dhillon, Keddin Alwar Thiagarajan, Sivaraman Arumugam

Keywords : Bowling kinematics, Cricketinjury prevention, Fast bowler, Force estimation

Citation Information : Badhyal S, Tiwari AK, Dhillon S, Thiagarajan KA, Arumugam S. Noninvasive Method of Force Estimation of Lower Limb Muscles in Cricket Fast Bowlers: Can This be an Application to Minimize Potential Injury?. J Postgrad Med Edu Res 2020; 54 (4):236-240.

DOI: 10.5005/jp-journals-10028-1410

License: CC BY-NC 4.0

Published Online: 25-01-2021

Copyright Statement:  Copyright © 2020; Jaypee Brothers Medical Publishers (P) Ltd.


Abstract

Background: Musculoskeletal modeling uses experimental data (motion capture data, both kinematics and kinetics) as an input to estimate the internal loading conditions; this noninvasive method is being validated by the research community for various activities and sports. With the heightened interest in Cricket in the Indian subcontinent, lower limb injuries are being increasingly documented in fast bowlers in cricket. The knowledge of muscular loading in lower limb during fast bowling has the potential to provide more insight into the mechanism of injury and help in prevention and management of the injury. Aims: We aimed to document the muscle and joint contact forces in lower limbs of fast bowlers to see if these could act as indirect determinants to prognosticate injury potential. Materials and methods: Experimental gait data from four Indian male state-level fast bowlers with no musculoskeletal injury in the past 6 months were collected in a gait laboratory. Both kinematic and kinetic data were collected using Plug-in Gait marker protocol. Inverse kinematics and inverse dynamics were used on the processed data to predict the internal joint loads. Static optimization was then used to estimate the muscle loading in the lower limb using OpenSim. Results and discussion: Peak front foot vertical ground reaction forces were between 5.86 and 9.10 BW (body weight). Based on the kinematic and kinetic input, the forces induced in the muscles and their loading pattern for front lower limb were determined. This loading information (muscle force pattern) could act as an input for subject-specific interventions. Conclusion: This study provides an insight to understand the lower limb muscular loading in fast bowlers. This information can be utilized by the sport scientists and medical professionals to access the injury in a more subject-specific manner. This quantitative information on lower limb loading at various joints will help in designing efficient strengthening and rehabilitation protocol for individual fast bowler.


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