scholarly journals The assessment of single-leg drop jump landing performance by means of ground reaction forces: A methodological study

2019 ◽  
Vol 73 ◽  
pp. 80-85 ◽  
Author(s):  
Arnold Huurnink ◽  
Duncan P. Fransz ◽  
Idsart Kingma ◽  
Vosse A. de Boode ◽  
Jaap H. van Dieën
Keyword(s):  
Ground Reaction Forces ◽  
Drop Jump ◽  
Methodological Study ◽  
Jump Landing ◽  
Reaction Forces

Functional knee brace use effect on peak vertical ground reaction forces during drop jump landing

2012 ◽  
Vol 20 (12) ◽  
pp. 2405-2412 ◽  
Author(s):  
Neetu Rishiraj ◽  
Jack E. Taunton ◽  
Robert Lloyd-Smith ◽  
William Regan ◽  
Brian Niven ◽  
...  
Keyword(s):  
Ground Reaction Forces ◽  
Drop Jump ◽  
Knee Brace ◽  
Jump Landing ◽  
Reaction Forces ◽  
Vertical Ground ◽  
Vertical Ground Reaction Forces

scholarly journals Time series of ground reaction forces following a single leg drop jump landing in elite youth soccer players consist of four distinct phases

2016 ◽  
Vol 50 ◽  
pp. 137-144 ◽  
Author(s):  
Duncan P. Fransz ◽  
Arnold Huurnink ◽  
Vosse A. de Boode ◽  
Idsart Kingma ◽  
Jaap H. van Dieën
Keyword(s):  
Time Series ◽  
Soccer Players ◽  
Ground Reaction Forces ◽  
Drop Jump ◽  
Youth Soccer ◽  
Jump Landing ◽  
Reaction Forces

scholarly journals Utility of Kinetic and Kinematic Jumping and Landing Variables as Predictors of Injury Risk: A Systematic Review

2020 ◽  
Vol 2 (4) ◽  
pp. 287-304 ◽  
Author(s):  
Jason S. Pedley ◽  
Rhodri S. Lloyd ◽  
Paul J. Read ◽  
Isabel S. Moore ◽  
Mark De Ste Croix ◽  
...  
Keyword(s):  
Performance Measures ◽  
Injury Risk ◽  
Reaction Force ◽  
Separation Distance ◽  
Lower Extremity Injury ◽  
Ground Reaction Forces ◽  
Drop Jump ◽  
Jump Landing ◽  
Risk Of Injury ◽  
Reaction Forces

Abstract Purpose Jump-landing assessments provide a means to quantify an individual’s ability to attenuate ground reaction forces, generate lower limb explosive power and maintain joint alignment. In order to identify risk factors that can be targeted through appropriate training interventions, it is necessary to establish which (scalar) objective kinetic, kinematic, and performance measures are most associated with lower-extremity injury. Methods Online searches of MEDLINE, SCOPUS, EBSCOHost, SPORTDiscus and PubMed databases were completed for all articles published before March 2020 in accordance with PRISMA guidelines. Results 40 articles investigating nine jump-landing assessments were included in this review. The 79% of studies using drop jump (n = 14) observed an association with future injury, while only 8% of countermovement jump studies (n = 13) observed an association with injury risk. The 57% of studies using unilateral assessments found associations with risk of injury (n = 14). Studies using performance measures (jump height/distance) as outcome measure were only associated with injury risk in 30% of cases. However, those using kinetic and/or kinematic analyses (knee abduction moment, knee valgus angle, knee separation distance, peak ground reaction force) found associations with injury in 89% of studies. Conclusion The landing element of jump-landing assessments appears to be superior for identifying individuals at greater risk of injury; likely due to a closer representation of the injury mechanism. Consequently, jump-landing assessments that involve attenuation of impact forces such as the drop jump appear most suited for this purpose but should involve assessment of frontal plane knee motion and ground reaction forces.

scholarly journals Ground Reaction Forces and Kinematics of Ski Jump Landing Using Wearable Sensors

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2011 ◽  
Author(s):  
Bessone ◽  
Petrat ◽  
Schwirtz
Keyword(s):  
Wearable Sensors ◽  
Reaction Force ◽  
Ground Reaction Forces ◽  
Inertial Motion ◽  
Jump Landing ◽  
The Past ◽  
Landing Biomechanics ◽  
Reaction Forces ◽  
The Hill ◽  
Kinematics And Kinetics

In the past, technological issues limited research focused on ski jump landing. Today, thanks to the development of wearable sensors, it is possible to analyze the biomechanics of athletes without interfering with their movements. The aims of this study were twofold. Firstly, the quantification of the kinetic magnitude during landing is performed using wireless force insoles while 22 athletes jumped during summer training on the hill. In the second part, the insoles were combined with inertial motion units (IMUs) to determine the possible correlation between kinematics and kinetics during landing. The maximal normal ground reaction force (GRFmax) ranged between 1.1 and 5.3 body weight per foot independently when landing using the telemark or parallel leg technique. The GRFmax and impulse were correlated with flying time (p < 0.001). The hip flexions/extensions and the knee and hip rotations of the telemark front leg correlated with GRFmax (r = 0.689, p = 0.040; r = −0.670, p = 0.048; r = 0.820, p = 0.007; respectively). The force insoles and their combination with IMUs resulted in promising setups to analyze landing biomechanics and to provide in-field feedback to the athletes, being quick to place and light, without limiting movement.

scholarly journals Machine Learning-Based Estimation of Ground Reaction Forces and Knee Joint Kinetics from Inertial Sensors While Performing a Vertical Drop Jump

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7709
Author(s):  
Serena Cerfoglio ◽  
Manuela Galli ◽  
Marco Tarabini ◽  
Filippo Bertozzi ◽  
Chiarella Sforza ◽  
...  
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Knee Joint ◽  
Field Analysis ◽  
Ground Reaction Forces ◽  
Drop Jump ◽  
Joint Moments ◽  
Data Set ◽  
Joint Kinetics ◽  
Reaction Forces

Nowadays, the use of wearable inertial-based systems together with machine learning methods opens new pathways to assess athletes’ performance. In this paper, we developed a neural network-based approach for the estimation of the Ground Reaction Forces (GRFs) and the three-dimensional knee joint moments during the first landing phase of the Vertical Drop Jump. Data were simultaneously recorded from three commercial inertial units and an optoelectronic system during the execution of 112 jumps performed by 11 healthy participants. Data were processed and sorted to obtain a time-matched dataset, and a non-linear autoregressive with external input neural network was implemented in Matlab. The network was trained through a train-test split technique, and performance was evaluated in terms of Root Mean Square Error (RMSE). The network was able to estimate the time course of GRFs and joint moments with a mean RMSE of 0.02 N/kg and 0.04 N·m/kg, respectively. Despite the comparatively restricted data set and slight boundary errors, the results supported the use of the developed method to estimate joint kinetics, opening a new perspective for the development of an in-field analysis method.

scholarly journals Hop-Stabilization Training and Landing Biomechanics in Athletes With Chronic Ankle Instability: A Randomized Controlled Trial

2019 ◽  
Vol 54 (12) ◽  
pp. 1296-1303 ◽  
Author(s):  
Mohammad Karimizadeh Ardakani ◽  
Erik A. Wikstrom ◽  
Hooman Minoonejad ◽  
Reza Rajabi ◽  
Ali Sharifnezhad
Keyword(s):  
Lower Extremity ◽  
Training Program ◽  
Ankle Instability ◽  
Control Group ◽  
Ground Reaction Forces ◽  
Basketball Players ◽  
Jump Landing ◽  
Randomized Controlled ◽  
Landing Biomechanics ◽  
Reaction Forces

Context Hopping exercises are recommended as a functional training tool to prevent lower limb injury, but their effects on lower extremity biomechanics in those with chronic ankle instability (CAI) are unclear. Objective To determine if jump-landing biomechanics change after a hop-stabilization intervention. Design Randomized controlled clinical trial. Setting Research laboratory. Patients or Other Participants Twenty-eight male collegiate basketball players with CAI were divided into 2 groups: hop-training group (age = 22.78 ± 3.09 years, mass = 82.59 ± 9.51 kg, height = 187.96 ± 7.93 cm) and control group (age = 22.57 ± 2.76 years, mass = 78.35 ± 7.02 kg, height = 185.69 ± 7.28 cm). Intervention(s) A 6-week supervised hop-stabilization training program that consisted of 18 training sessions. Main Outcome Measure(s) Lower extremity kinetics and kinematics during a jump-landing task and self-reported function were assessed before and after the 6-week training program. Results The hop-stabilization program resulted in improved self-reported function (P &lt; .05), larger sagittal-plane hip- and knee-flexion angles, and greater ankle dorsiflexion (P &lt; .05) relative to the control group. Reduced frontal-plane joint angles at the hip, knee, and ankle as well as decreased ground reaction forces and a longer time to peak ground reaction forces were observed in the hopping group compared with the control group after the intervention (P &lt; .05). Conclusions The 6-week hop-stabilization training program altered jump-landing biomechanics in male collegiate basketball players with CAI. These results may provide a potential mechanistic explanation for improvements in patient-reported outcomes and reductions in injury risk after ankle-sprain rehabilitation programs that incorporate hop-stabilization exercises.

scholarly journals Landing Styles Influences Reactive Strength Index without Increasing Risk for Injury

2018 ◽  
Vol 02 (02) ◽  
pp. E35-E40
Author(s):  
Dana Guy-Cherry ◽  
Ahmad Alanazi ◽  
Lauren Miller ◽  
Darrin Staloch ◽  
Alexis Ortiz-Rodriguez
Keyword(s):  
Muscle Activity ◽  
Knee Flexion ◽  
Gluteus Maximus ◽  
Ground Reaction Forces ◽  
Drop Jump ◽  
Strength Index ◽  
Jumping Performance ◽  
Landing Mechanics ◽  
Reaction Forces ◽  
Increasing Risk

AbstractThe aim was to determine which three landing styles – stiff (ST), self-selected (SS), or soft (SF) – exhibit safer landing mechanics and greater jumping performance. Thirty participants (age: 26.5±5.1 years; height: 171.0±8.8 cm; weight: 69.7±10.1 kg) performed five trials of three randomized drop jump (40 cm) landing styles including SF (~60° knee flexion), ST (knees as straight as possible), and SS. Knee flexion and valgus angles and kinetics were measured. An electromyography system measured muscle activity of the gluteus maximus, quadriceps, hamstrings, tibialis anterior, and gastrocnemius. Reactive strength index (RSI) was used to measure jumping performance. ANOVAs were used to compare the three landings. All landings differed in knee flexion (p<0.001; effect size (η2): 0.9) but not valgus (p=.13; η2:.15). RSI (mm·ms-1) showed differences for all jumps (p<0.001; η2: 0.7) with SS (0.96) showing the highest value, then ST (0.93), and SF (0.64). Ground reaction forces were different between jumps (p<0.001; η2: 0.4) with SF (1.34/bodyweight (bw)) showing lower forces, then SS (1.50/bw), and ST (1.81/bw). No between-jump differences were observed for EMG (p>0.66; η2: 0.3). No landing demonstrated valgus landing mechanics. The SS landing exhibited the highest RSI. However, the 1.8/bw exhibited by the ST landing might contribute to overload of musculotendinous structures at the knee.

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