Effect of Fatigue on Tibial Impact Accelerations and Knee Kinematics in Drop Jumps

Moran, Kieran; Marshall, Brendan

doi:10.1249/01.mss.0000229567.09661.20

Cited by 49 publications

(67 citation statements)

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“…Moran and Marshall (32) concluded that the increased tibial accelerations after fatiguing exercise indicated a state of increased injury risk when performing SSC activities in a fatigued state. It is important to point out, however, that Moran and Marshall (32) did not obtain measures until at least 2 minutes after the completion of the fatigue protocol; therefore, their findings could equally be explained by a PAP response.…”

Section: Introductionmentioning

confidence: 89%

An Investigation Into the Recovery Process of a Maximum Stretch-Shortening Cycle Fatigue Protocol on Drop and Rebound Jumps

Comyns

Harrison

Hennessy

2011

Journal of Strength and Conditioning Research

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Comyns, TM, Harrison, AJ, and Hennessy, LK. An investigation into the recovery process of a maximum stretch-shortening cycle fatigue protocol on drop and rebound jumps. J Strength Cond Res 25(X): 000-000, 2011-The aim of this study was to investigate the recovery process of a maximal stretch-shortening cycle (SSC) fatigue workout on the biomechanical performance of drop jump (DJ) and rebound jump (RBJ) on a force sledge apparatus. Thirteen elite level rugby players performed sledge DJs and RBJs before and 15, 45, 120, and 300 seconds after a maximum SSC fatigue workout. Flight time, ground contact time (CT), peak force, reactive strength index (RSI), and leg-spring stiffness were the dependent variables. The DJ results showed that after 15 seconds recovery, there was a significant reduction in flight time (FT) (p , 0.01), RSI (p , 0.001), peak force (p , 0.01), and leg stiffness (p , 0.001). Similarly, the results for the RBJ indicated that the fatigue workout significantly reduced FT (p , 0.001), peak force (p , 0.01), RSI (p , 0.01), and significantly increased CT (p , 0.05) at the 15-second interval. The results also indicated a potentiation effect at the 300-second interval because of significant increases in RSI, peak force, and leg stiffness (p , 0.05) for the RBJ and significant increases in RSI (p , 0.05), peak force, and leg stiffness (p , 0.01) and a significant decrease in ground CT (p , 0.05) for the DJ. A maximal SSC fatigue workout had both an inhibiting and potentiating effect on DJ and RBJ performance depending on the recovery interval. The efficiency of the SSC function was reduced immediately after the cessation of the fatigue workout. A potentiation effect was evident for both jumps 300 seconds postfatigue.

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Section: Introductionmentioning

confidence: 89%

An Investigation Into the Recovery Process of a Maximum Stretch-Shortening Cycle Fatigue Protocol on Drop and Rebound Jumps

Comyns

Harrison

Hennessy

2011

Journal of Strength and Conditioning Research

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“…impact accelerations) 2 during a series of actions common to their sport and known to be related to injury (e.g. running [3], jumping and landing [6], agility cuts [9]). Generally, the athlete completes 1 − 5 maximum effort trials of each action [6] and their results are compared to normative values, if available [10].…”

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confidence: 99%

“…running [3], jumping and landing [6], agility cuts [9]). Generally, the athlete completes 1 − 5 maximum effort trials of each action [6] and their results are compared to normative values, if available [10]. These tests are almost exclusively completed in a laboratory since biomechanics based motion analysis systems tend to be camera based (6+ cameras typically) which must remain spatially fixed during the testing session and tend to be negatively affected by changing lighting conditions.…”

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confidence: 99%

“…A solution to the above assessment challenges would be to use sensors that could be worn throughout a training session or competitive event, detecting an athlete's joint angular motion and impact accelerations. Accelerometers mounted on the body can be used to infer loading based on Newton's second law of motion (F = ma) [6], [7], [8] during every footground contact. We estimate that within a 45 minute training session this could involve each foot striking the ground (more than2000) times.…”

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confidence: 99%

“…By taking advantage of the advancement in 1 Direct loading on individual tissues cannot be measured in a non-invasive fashion but it is possible to determine aggregate loading on a region of tissues or structures. 2 Technically this should be referred to as deceleration, but the term acceleration is used throughout this manuscript in line with the current biomechanical literature [6], [7], [8] microelectronics and other micro technologies, it is possible to build inexpensive, miniaturized, low-mass and non-invasive instruments to monitor the movement and performance of athletes, patients, etc. in sporting or more natural environments and provide near real-time feedback to subjects.…”

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confidence: 99%

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Toward Automatic Activity Classification and Movement Assessment During a Sports Training Session

Ahmadi

Mitchell

Richter

et al. 2015

IEEE Internet Things J.

106

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Abstract-Motion analysis technologies have been widely used to monitor the potential for injury and enhance athlete performance. However, most of these technologies are expensive, can only be used in laboratory environments and examine only a few trials of each movement action. In this paper, we present a novel ambulatory motion analysis framework using wearable inertial sensors to accurately assess all of an athlete's activities in real training environment. We firstly present a system that automatically classifies a large range of training activities using the Discrete Wavelet Transform (DWT) in conjunction with a Random forest classifier. The classifier is capable of successfully classifying various activities with up to 98% accuracy. Secondly, a computationally efficient gradient descent algorithm is used to estimate the relative orientations of the wearable inertial sensors mounted on the shank, thigh and pelvis of a subject, from which the flexion-extension knee and hip angles are calculated. These angles, along with sacrum impact accelerations, are automatically extracted for each stride during jogging. Finally, normative data is generated and used to determine if a subject's movement technique differed to the normative data in order to identify potential injury related factors. For the joint angle data this is achieved using a curve-shift registration technique. It is envisaged that the proposed framework could be utilized for accurate and automatic sports activity classification and reliable movement technique evaluation in various unconstrained environments for both injury management and performance enhancement.

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Fatigue-Related Injuries in Athletes

2008

Injuries in Athletics: Causes and Consequences

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Effect of Fatigue on Tibial Impact Accelerations and Knee Kinematics in Drop Jumps

Abstract: Care should be taken when performing drop jumps from a height of 30 cm in a fatigued state because of the reduced capacity to attenuate impact accelerations at the tibia, which may be associated with an increased risk of injury.

Cited by 49 publications

References 24 publications

An Investigation Into the Recovery Process of a Maximum Stretch-Shortening Cycle Fatigue Protocol on Drop and Rebound Jumps

An Investigation Into the Recovery Process of a Maximum Stretch-Shortening Cycle Fatigue Protocol on Drop and Rebound Jumps

Toward Automatic Activity Classification and Movement Assessment During a Sports Training Session

Fatigue-Related Injuries in Athletes

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