Quantifying Functional Ankle Rehabilitation Progression Criteria Using GPS: A Preliminary Study

Greig, Matt; Emmerson, Hannah; McCreadie, John

doi:10.1123/jsr.2018-0045

Cited by 11 publications

(19 citation statements)

References 25 publications

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“…However the tri-axial accelerometer is not constrained by the same requirements, and has previously been used in indoor sports 28 and within a clinical rehabilitation context. 19 The placement of the accelerometer can then be tailored to a bespoke consideration of injury location. Previous applications have considered lumbar spine injury in cricket 18 and ankle sprain injury in soccer.…”

Section: Discussionmentioning

confidence: 99%

“…Previous applications have considered lumbar spine injury in cricket 18 and ankle sprain injury in soccer. 19 Greig et al recently highlighted the efficacy of lower-limb mounted GPS units to quantify the planar loading response to functional rehabilitation drills designed to challenge the mechanism of ankle sprain injury. 19 In the current study the soccer-specific test is both intermittent and multi-directional, and performed at high intensity.…”

Section: Discussionmentioning

confidence: 99%

“…However, recent studies have highlighted the sensitivity of loading magnitude to unit placement, with alternative sites being developed in response to specific injury risk. 18,19 In a sport-specific example, Greig and Nagy compared C7 vs L5 loading given the prevalence of lumbar injuries in cricket fast bowlers. 18 In relation to the high prevalence of ankle injuries in soccer, Greig et al recently used a mid-tibia placement to quantify loading during functional rehabilitation tasks aligned to ankle sprain injury.…”

Section: Introductionmentioning

confidence: 99%

“…18 In relation to the high prevalence of ankle injuries in soccer, Greig et al recently used a mid-tibia placement to quantify loading during functional rehabilitation tasks aligned to ankle sprain injury. 19 The mid-tibia site was selected as providing anatomical relevance to the ankle (given the prevalence of ankle sprain injury in soccer), without constraining movement. Furthermore, the PlayerLoad metric can be calculated in each axial plane, providing greater richness of data in respect to the mechanism and aetiology of ankle sprain injury, and with high ecological validity.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the PlayerLoad metric can be calculated in each axial plane, providing greater richness of data in respect to the mechanism and aetiology of ankle sprain injury, and with high ecological validity. 15,18,19 The aim of the current study was therefore to quantify the influence of playing surface on the loading response to soccer-specific activity, with loading quantified at C7 and mid-tibia.…”

Section: Introductionmentioning

confidence: 99%

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The Influence of Playing Surface on the Loading Response to Soccer-Specific Activity

Jones¹,

Page²,

Brogden³

et al. 2020

Journal of Sport Rehabilitation

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Context: The influence of playing surface on injury risk in soccer is contentious, and contemporary technologies permit an in vivo assessment of mechanical loading on the player. Objective: To quantify the influence of playing surface on the PlayerLoad elicited during soccer-specific activity. Design: Repeated measures, field-based design. Setting: Regulation soccer pitches. Participants: Fifteen amateur soccer players (22.1 [2.4] y), injury free with ≥6 years competitive experience. Interventions: Each player completed randomized order trials of a soccer-specific field test on natural turf, astroturf, and third-generation artificial turf. GPS units were located at C7 and the mid-tibia of each leg to measure triaxial acceleration (100 Hz). Main Outcome Measures: Total accumulated PlayerLoad in each movement plane was calculated for each trial. Ratings of perceived exertion and visual analog scales assessing lower-limb muscle soreness were measured as markers of fatigue. Results: Analysis of variance revealed no significant main effect for playing surface on total PlayerLoad (P = .55), distance covered (P = .75), or postexercise measures of ratings of perceived exertion (P = .98) and visual analog scales (P = .61). There was a significant main effect for GPS location (P < .001), with lower total loading elicited at C7 than mid-tibia (P < .001), but with no difference between limbs (P = .70). There was no unit placement × surface interaction (P = .98). There was also a significant main effect for GPS location on the relative planar contributions to loading (P < .001). Relative planar contributions to loading in the anterioposterior:mediolateral:vertical planes was 25:27:48 at C7 and 34:32:34 at mid-tibia. Conclusions: PlayerLoad metrics suggest that playing surface does not influence mechanical loading during soccer-specific activity (not including tackling). Clinical reasoning should consider that PlayerLoad magnitude and axial contributions were sensitive to unit placement, highlighting opportunities in the objective monitoring of load during rehabilitation.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Influence of Playing Surface on the Loading Response to Soccer-Specific Activity

Jones¹,

Page²,

Brogden³

et al. 2020

Journal of Sport Rehabilitation

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Surface acceleration transmission during drop landings in humans

McErlain-Naylor

King

Allen

2021

Journal of Biomechanics

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Inter-unit reliability of IMU Step metrics using IMeasureU Blue Trident inertial measurement units for running-based team sport tasks

Armitage

Beato

McErlain-Naylor

2021

Journal of Sports Sciences

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The aim of this study was to determine the inter-unit reliability of IMU Step biomechanical load monitoring metrics using IMeasureU Blue Trident inertial measurement units in tasks common to running-based team sports. Knowledge of variability between units is required before researchers and practitioners can make informed decisions on "true" differences between limbs. Sixteen male college soccer players performed five running-based tasks, generating 224 trials and 17,012 steps. Data were analysed for each task and for the whole session, investigating six IMU Step metrics: step count; impact load; bone stimulus; and low, medium and high intensity steps. Inter-unit reliability was excellent (ICC ≥ 0.90) for 21 out of 26 metrics, and good (0.83 ≤ ICC ≤ 0.86) for all other metrics except for Yo-Yo impact load (ICC = 0.79) which was acceptable. These findings confirm the inter-unit reliability of IMU Step metrics using IMeasureU Blue Trident inertial measurement units for running-based team sports. Now that inter-unit variability has been quantified, researchers and practitioners can use this information when interpreting inter-limb differences for monitoring external biomechanical training load.

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Quantifying Functional Ankle Rehabilitation Progression Criteria Using GPS: A Preliminary Study

Cited by 11 publications

References 25 publications

The Influence of Playing Surface on the Loading Response to Soccer-Specific Activity

The Influence of Playing Surface on the Loading Response to Soccer-Specific Activity

Surface acceleration transmission during drop landings in humans

Inter-unit reliability of IMU Step metrics using IMeasureU Blue Trident inertial measurement units for running-based team sport tasks

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