The Validity of Hawkin Dynamics Wireless Dual Force Plates for Measuring Countermovement Jump and Drop Jump Variables

Andrew J Badby, Peter D Mundy, Paul Comfort, Jason P Lake, John J McMahon, Andrew J Badby, Peter D Mundy, Paul Comfort, Jason P Lake, John J McMahon

Abstract

Force plate testing is becoming more commonplace in sport due to the advent of commercially available, portable, and affordable force plate systems (i.e., hardware and software). Following the validation of the Hawkin Dynamics Inc. (HD) proprietary software in recent literature, the aim of this study was to determine the concurrent validity of the HD wireless dual force plate hardware for assessing vertical jumps. During a single testing session, the HD force plates were placed directly atop two adjacent Advanced Mechanical Technology Inc. in-ground force plates (the "gold standard") to simultaneously collect vertical ground reaction forces produced by 20 participants (27 ± 6 years, 85 ± 14 kg, 176.5 ± 9.23 cm) during the countermovement jump (CMJ) and drop jump (DJ) tests (1000 Hz). Agreement between force plate systems was determined via ordinary least products regression using bootstrapped 95% confidence intervals. No bias was present between the two force plate systems for any of the CMJ and DJ variables, except DJ peak braking force (proportional bias) and DJ peak braking power (fixed and proportional bias). The HD system may be considered a valid alternative to the industry gold standard for assessing vertical jumps because fixed or proportional bias was identified for none of the CMJ variables (n = 17) and only 2 out of 18 DJ variables.

Keywords: accuracy; agreement; concurrent validity; force–time; hardware; vertical jump; wireless dual force plate system.

Conflict of interest statement

This project forms part of the lead author’s PhD research which is jointly funded by the University of Salford and Hawkin Dynamics Inc., the latter of which is the manufacturer of the wireless dual force plate system used in this study. Furthermore, P.D.M., who is the Chief Scientific Officer of Hawkin Dynamics Inc., is the industry supervisor of the PhD research and J.P.L. is the Director of Education for Hawkin Dynamics Inc.

Figures

Figure 1
Figure 1
Example set-up for data collection (frontal plane).
Figure 2
Figure 2
Example set-up for data collection (sagittal plane).
Figure 3
Figure 3
A representative example of an original (top) and time-aligned (bottom) countermovement jump trial recorded by the AMTI (solid grey line) and HD (dotted black line) force plate systems. The bottom graph also illustrates the occurrence of key events. vGRF = vertical ground reaction force.
Figure 4
Figure 4
A representative example of an original (top) and time-aligned (bottom) drop jump trial recorded by the AMTI (solid grey line) and HD (dotted black line) force plate systems. The bottom graph also illustrates the occurrence of key events. vGRF = vertical ground reaction force.

References

    1. Guthrie B., Jagim A.R., Jones M.T. Ready or not, here I come: A scoping review of methods used to assess player readiness via indicators of neuromuscular function in football code athletes. Strength Cond. J. 2023;45:93–110. doi: 10.1519/SSC.0000000000000735.
    1. McMahon J.J., Suchomel T.J., Lake J.P., Comfort P. Relationship between reactive strength index variants in rugby league players. J. Strength Cond. Res. 2021;35:280–285. doi: 10.1519/JSC.0000000000002462.
    1. Merrigan J.J., Stone J.D., Thompson A.G., Hornsby W.G., Hagen J.A. Monitoring neuromuscular performance in military personnel. Int. J. Environ. Res. Public Health. 2020;17:9147. doi: 10.3390/ijerph17239147.
    1. Weldon A., Duncan M.J., Turner A., Sampaio J., Noon M., Wong D., Lai V.W. Contemporary practices of strength and conditioning coaches in professional soccer. Biol. Sport. 2021;38:377–390. doi: 10.5114/biolsport.2021.99328.
    1. McMahon J.J., Suchomel T.J., Lake J.P., Comfort P. Understanding the key phases of the countermovement jump force-time curve. Strength Cond. J. 2018;40:96–106. doi: 10.1519/SSC.0000000000000375.
    1. Merrigan J.J., Stone J.D., Galster S.M., Hagen J.A. Analyzing Force-Time Curves: Comparison of Commercially Available Automated Software and Custom MATLAB Analyses. J. Strength Cond. Res. 2022;36:2387–2402. doi: 10.1519/JSC.0000000000004275.
    1. Lake J., Augustus S., Austin K., Comfort P., McMahon J., Mundy P., Haff G.G. The reliability and validity of the bar-mounted PUSH BandTM 2.0 during bench press with moderate and heavy loads. J. Sport. Sci. 2019;37:2685–2690. doi: 10.1080/02640414.2019.1656703.
    1. McGuigan M. Principles of test selection and administration. In: Haff G.G., Triplett N.T., editors. Essentials of Strength Training and Conditioning. 4th ed. Human Kinetics; Champaign, IL, USA: 2016. pp. 249–258.
    1. Bland J.M., Altman D. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;327:307–310. doi: 10.1016/S0140-6736(86)90837-8.
    1. Ludbrook J. A primer for biomedical scientists on how to execute model II linear regression analysis. Clin. Exp. Pharmacol. Physiol. 2012;39:329–335. doi: 10.1111/j.1440-1681.2011.05643.x.
    1. Ludbrook J. Linear regression analysis for comparing two measurers or methods of measurement: But which regression? Clin. Exp. Pharmacol. Physiol. 2010;37:692–699. doi: 10.1111/j.1440-1681.2010.05376.x.
    1. Ludbrook J. Confidence in Altman-Bland plots: A critical review of the method of differences. Clin. Exp. Pharmacol. Physiol. 2010;37:143–149. doi: 10.1111/j.1440-1681.2009.05288.x.
    1. Ludbrook J. Statistical techniques for comparing measurers and methods of measurement: A critical review. Clin. Exp. Pharmacol. Physiol. 2002;29:527–536. doi: 10.1046/j.1440-1681.2002.03686.x.
    1. Mundy P.M., Clarke N.D. Performance Assessment in Strength and Conditioning. Routledge; Milton Park, UK: 2018. Reliability, validity and measurement error; pp. 23–33.
    1. Ranganathan P., Pramesh C.S., Aggarwal R. Common pitfalls in statistical analysis: Measures of agreement. Perspect. Clin. Res. 2017;8:187–191. doi: 10.4103/picr.PICR_123_17.
    1. Mullineaux D.R., Barnes C.A., Batterham A.M. Assessment of bias in comparing measurements: A reliability example. Meas. Phys. Educ. Exerc. Sci. 1999;3:195–205. doi: 10.1207/s15327841mpee0304_1.
    1. Ludbrook J. Multiple comparison procedures updated. Clin. Exp. Pharmacol. Physiol. 1998;25:1032–1037. doi: 10.1111/j.1440-1681.1998.tb02179.x.
    1. Ludbrook J. Comparing methods of measurement. Clin. Exp. Pharmacol. Physiol. 1997;24:198–203. doi: 10.1111/j.1440-1681.1997.tb01807.x.
    1. Crowder G.E. Atlanta, GA, USA: 2020. [(accessed on 12 April 2023)]. The Validation of a Portable Dual-Force Plate System for Assessing Countermovement Jump Performance. In American Society of Biomechanics. Available online: .
    1. Lake J., Mundy P., Comfort P., McMahon J.J., Suchomel T.J., Carden P. Concurrent validity of a portable force plate using vertical jump force–time characteristics. J. Appl. Biomech. 2018;34:410–413. doi: 10.1123/jab.2017-0371.
    1. Peterson Silveira R., Stergiou P., Carpes F.P., Castro F.A., Katz L., Stefanyshyn D.J. Validity of a portable force platform for assessing biomechanical parameters in three different tasks. Sport. Biomech. 2017;16:177–186. doi: 10.1080/14763141.2016.1213875.
    1. Jidovtseff B., Quievre J., Nigel H., Cronin J. Influence of jumping strategy on kinetic and kinematic variables. J. Sport. Med. Phys. Fit. 2014;54:129–138.
    1. Moir G.L. Three Different Methods of Calculating Vertical Jump Height from Force Platform Data in Men and Women. Meas. Phys. Educ. Exerc. Sci. 2008;12:207–218. doi: 10.1080/10913670802349766.
    1. Owen N.J., Watkins J., Kilduff L.P., Bevan H.R., Bennett M.A. Development of a criterion method to determine peak mechanical power output in a countermovement jump. J. Strength Cond. Res. 2014;28:1552–1558. doi: 10.1519/JSC.0000000000000311.
    1. Street G., McMillan S., Board W., Rasmussen M., Heneghan J.M. Sources of error in determining countermovement jump height with the impulse method. J. Appl. Biomech. 2001;17:43–54. doi: 10.1123/jab.17.1.43.
    1. Xu J., Turner A., Comfort P., Harry J.R., McMahon J.J., Chavda S., Bishop C. A systematic review of the different calculation methods for measuring jump height during the countermovement and drop jump tests. Sport. Med. 2023;53:1055–1072. doi: 10.1007/s40279-023-01828-x.
    1. McMahon J.J., Jones P.A., Comfort P. Comparison of Countermovement Jump-Derived Reactive Strength Index Modified and Underpinning Force-Time Variables Between Super League and Championship Rugby League Players. J. Strength Cond. Res. 2019;36:226–231. doi: 10.1519/JSC.0000000000003380.
    1. McMahon J.J., Lake J.P., Stratford C., Comfort P. A proposed method for evaluating drop jump performance with one force platform. Biomechanics. 2021;1:178–189. doi: 10.3390/biomechanics1020015.
    1. Baca N. A comparison of methods for analyzing drop jump performance. Med. Sci. Sport. Exerc. 1999;31:437–442. doi: 10.1097/00005768-199903000-00013.
    1. Lake J.P., McMahon J.J. Within-Subject Consistency of Unimodal and Bimodal Force Application during the Countermovement Jump. Sports. 2018;6:143. doi: 10.3390/sports6040143.
    1. Cowling E.J., Steele J.R., McNair P.J. Effect of verbal instructions on muscle activity and risk of injury to the anterior cruciate ligament during landing. Br. J. Sport. Med. 2003;37:126–130. doi: 10.1136/bjsm.37.2.126.
    1. Hawkin Dynamics, Inc Hawkin Dynamics Information Packet. 2021. [(accessed on 10 January 2023)]. Available online: .
    1. Geraldo G.D., Bredt S.D., Menzel H.J., Cançado G.H., Carvalho L.A., Lima F.V., Soares J.D., Andrade A.G. Drop height is influenced by box height but not by individual stature during drop jumps. J. Phys. Educ. 2019;30 doi: 10.4025/jphyseduc.v30i1.3078.
    1. Costley L., Wallace E., Johnston M., Kennedy R. Reliability of bounce drop jump parameters within elite male rugby players. J. Sport. Med. Phys. Fit. 2017;58:1390–1397. doi: 10.23736/S0022-4707.17.07400-X.

Source: PubMed

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