The head is an excellent proxy for the whole body center of mass when measuring running velocity in competition

Hanley, Brian, Bissas, Athanassios ORCID: 0000-0002-7858-9623 and Merlino, Stéphane (2021) The head is an excellent proxy for the whole body center of mass when measuring running velocity in competition. Journal of Biomechanics, 121. Art 110399. doi:10.1016/j.jbiomech.2021.110399

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Abstract

Whole body digitizing used to calculate whole body center of mass (CM) variables from competitions is particularly time-consuming, and & ldquo;shortcut & rdquo; methods that substitute for it could expediate the calculation of spatiotemporal variables. The aim of this study was to measure the appropriateness of using the head as a proxy for the CM when calculating running velocity in competition. Fifty-six athletes in the IAAF World Championship marathons were recorded using two high-definition cameras (50 Hz) on two laps so that 112 running sequences were analyzed. The video files were imported into SIMI Motion and manually digitized. The horizontal running velocity during one gait cycle was obtained using four methods: horizontal velocity of the CM; horizontal velocity of the head (raw data); horizontal velocity of the head (Butterworth filtered); and horizontal displacement of the head (a single measurement using SIMI Motion 3D still image measurement) divided by time taken. In comparison with the criterion CM measurements for mean horizontal velocity, the filtered head data had the best 95% confidence interval (95% CI) for intraclass correlation coefficient (ICC) (0.999 & ndash; 1.000), the least bias (& ndash;0.006 m/s), and the lowest root mean square difference (0.024 m/s). The filtered head condition also had the best 95% CI for ICC for maximum and minimum horizontal velocities during the stride (>0.988) and the lowest bias (& ndash;0.001 m/s and & ndash;0.003 m/s, respectively). With the application of an appropriate filter, the head is thus an excellent proxy for whole body CM velocity calculations.

Item Type: Article
Article Type: Article
Uncontrolled Keywords: Digitizing; Gait analysis; Kinematics; Running; Videography
Subjects: G Geography. Anthropology. Recreation > GV Recreation Leisure > GV557 Sports > GV0712 Athletic contests. Sports events
G Geography. Anthropology. Recreation > GV Recreation Leisure > GV557 Sports > GV1060 Track and field athletics
Divisions: Schools and Research Institutes > School of Sport and Exercise > Applied Sport & Exercise Sciences
Research Priority Areas: Health, Life Sciences, Sport and Wellbeing
Depositing User: Rhiannon Goodland
Date Deposited: 29 Mar 2021 14:13
Last Modified: 01 Aug 2021 22:21
URI: https://eprints.glos.ac.uk/id/eprint/9524

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