Sprint acceleration mechanical outputs derived from position- or velocity-time data: a multi-system comparison study

(Aus Positions- oder Geschwindigkeits-Zeit-Daten abgeleitete mechanische Leistungen bei der Sprintbeschleunigung: eine Multisystem-Vergleichsstudie)

To directly compare five commonly used on-field systems (motorized linear encoder, laser, radar, global positioning system, and timing gates) during sprint acceleration to (i) measure velocity-time data, (ii) compute the main associated force-velocity variables, and (iii) assess their respective inter-trial reliability. Eighteen participants performed three 40 m sprints, during which five systems were used to simultaneously and separately record the body center of the mass horizontal position or velocity over time. Horizontal force-velocity mechanical outputs for the two best trials were computed following an inverse dynamic model and based on an exponential fitting of the position- or velocity-time data. Between the five systems, the maximal running velocity was close (7.99 to 8.04 m.s-1), while the time constant showed larger differences (1.18 to 1.29 s). Concurrent validity results overall showed a relative systematic error of 0.86 to 2.28% for maximum and theoretically maximal velocity variables and 4.78 to 12.9% for early acceleration variables. The inter-trial reliability showed low coefficients of variation (all <5.74%), and was very close between all of the systems. All of the systems tested here can be considered relevant to measure the maximal velocity and compute the force-velocity mechanical outputs. Practitioners are advised to interpret the data obtained with either of these systems in light of these results.
© Copyright 2022 Sensors. Alle Rechte vorbehalten.

Bibliographische Detailangaben
Schlagworte:
Notationen:Kraft-Schnellkraft-Sportarten Naturwissenschaften und Technik
Tagging:Laser position measurement
Veröffentlicht in:Sensors
Sprache:Englisch
Veröffentlicht: 2022
Online-Zugang:https://doi.org/10.3390/s22228610
Jahrgang:22
Heft:22
Seiten:8610
Dokumentenarten:Artikel
Level:hoch