Concurrent Validity and Reliability of Sprinting Force–Velocity Profile Assessed With GPS Devices in Elite Athletes

Clavel, Pauline; Leduc, Cédric; Morin, Jean–Benoît; Owen, Cameron; Samozino, Pierre; Peeters, Alexis; Buchheit, Martin; Lacome, Mathieu

doi:10.1123/ijspp.2021-0339

Cited by 32 publications

(63 citation statements)

References 12 publications

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“…This accuracy of position-time or velocitytime measurement has been shown for linear encoder technology [9][10][11], lasers [12,13], radars [12,14], global positioning systems (GPS) [15,16], and timing gates [17]. On this basis, sprint specific horizontal force production capacities have recently been studied via the "force-velocity profile" approach using the 1080 Sprint motorized linear encoder technology [18], the MuscleLab laser system [19], Stalker ATS II radar [20], Catapult Vector S7 GPS [21], and the Microgate timing gates [22].…”

Section: Introductionmentioning

confidence: 99%

Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study

Fornasier-Santos

Arnould

Jusseaume

et al. 2022

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%

Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study

Fornasier-Santos

Arnould

Jusseaume

et al. 2022

Sensors

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“…The physiological data were collected using heart rate monitors (Polar H1 chest strap, Polar Electro Oy, Kempele, Finland). The validity and reliability of both devices have been reported acceptable (Clavel et al, 2022;Crang et al, 2022;Schaffarczyk et al, 2022). Both physical data and physiological data were processed in OpenField (Catapult Sports, Melbourne, Australia, Version 3.3.1).…”

Section: Methodsmentioning

confidence: 99%

Peak Running, Mechanical, and Physiological Demands of Professional Men’s Field Hockey Matches

Lin¹,

Ji²,

Zhang³

et al. 2023

Journal of Human Kinetics

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The aim of this study was to investigate the peak running, mechanical, and physiological demands of players of different positions in professional men's field hockey matches. Eighteen professional male field hockey players participated in the study, and data were collected in eleven official matches. Players wore GPS units (Vector S7, Catapult Sports) and heart rate (HR) monitors (Polar H1, Polar Electros) to collect physical and physiological data. Physical and physiological output of forwards, midfielders, and defenders in full matches and during 1-min peak periods was analysed. For all metrics and positions, the values identified for the 1-min peak periods were greater than the average values of match play (p < 0.05). In terms of 1-min peak period Player Load, all three positions were significantly different from each other. Forwards achieved the highest Player Load per minute, while defenders the lowest. The distance per minute, high-speed distance per minute, and the relative average heart rate of defenders were significantly lower than of midfielders and forwards (p < 0.05). The current study revealed the peak running, mechanical, and physiological demands of professional men’s field hockey matches. It is recommended when prescribing training programmes, to consider not only match average demands, but also peak demands. Forwards and midfielders displayed similar peak demands, while defenders had the lowest demands in all metrics except the number of accelerations and decelerations per minute. Player Load per minute can be used to identify the differences in peak mechanical demands between forwards and midfielders.

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“…The physiological data were collected using heart rate monitors (Polar H1 chest strap, Polar Electro Oy, Kempele, Finland). The validity and reliability of both devices have been reported acceptable (Clavel, et al, 2022;Crang, et al, 2022;Schaffarczyk, Rogers, Reer, & Gronwald, 2022). Both physical, physiological, and movement profile data were processed in OpenField (Catapult Sports, Melbourne, Australia, Version 3.3.1).…”

Section: Methodsmentioning

confidence: 99%

Physical, physiological demands and movement profiles of professional men’s field hockey games

Lin¹,

Zhang³

et al. 2023

Kinesiology (Zagreb, Online)

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The aim of this study was to investigate the physical demands, physiological demands, and movement profiles of different positions across four quarters in professional men’s field hockey games. Eighteen professional male field hockey players participated in the study, and data were collected in eleven official matches. Players wore global positioning system units and heart rate monitors to collect physical, physiological, and movement profile data. Defenders had significantly higher absolute total distance covered, player load, acceleration and deceleration count, and forward-backward initial movement analysis (IMA) count, but lower high speed running distance, compared with midfielders and forwards (p<.05). However, when using relative metrics (normalised by playing time), defenders had the lowest physical and physiological outputs, and forwards were the highest (p<.05). Total distance covered per minute, high-speed running distance per minute, player load per minute, acceleration and deceleration count per minute, and repeated high-intensity efforts per minute were all significantly higher in quarter 1 than in other three quarters (p<.05). The percentages of linear running and non-linear dynamic movement duration decreased quarter by quarter. Modified training impulse per minute reached its peak in quarter 2 (p<.05). It was concluded that defenders had the highest volume in terms of the game demands due to their high playing minutes; however, they had the lowest relative volume compared with other two positions. Forwards had the highest linear running intensity, while midfielders were required to perform more multi-directional, non-linear movements. Quarter 1 was the most active quarter and players became fatigued in quarter 2. IMA counts were not sensitive to fatigue compared to movement profile and modified training impulse variables.

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Concurrent Validity and Reliability of Sprinting Force–Velocity Profile Assessed With GPS Devices in Elite Athletes

Cited by 32 publications

References 12 publications

Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study

Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study

Peak Running, Mechanical, and Physiological Demands of Professional Men’s Field Hockey Matches

Physical, physiological demands and movement profiles of professional men’s field hockey games

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