Effects of Drop-height and Surface Instability on Jump Performance and Knee Kinematics

AbstractThe purpose of this study was to examine the combined effects of drop-height and surface condition on drop jump (DJ) performance and knee joint kinematics. DJ performance, sagittal and frontal plane knee joint kinematics were measured in jump experienced young male and female adults during DJs on stable, unstable and highly unstable surfaces using different drop-heights (20, 40, 60 cm). Findings revealed impaired DJ performance (Δ5–16%; p<0.05; 1.43≤d≤2.82), reduced knee valgus motion (Δ33–52%; p<0.001; 2.70≤d≤3.59), and larger maximum knee flexion angles (Δ13–19%; p<0.01; 1.74≤d≤1.75) when using higher (60 cm) compared to lower drop-heights (≤40 cm). Further, lower knee flexion angles and velocity were found (Δ8-16%; p<0.01; 1.49≤d≤2.38) with increasing surface instability. When performing DJs from high (60 cm) compared to moderate drop-heights (40 cm) on highly unstable surfaces, higher knee flexion velocity and maximum knee valgus angles were found (Δ15–19%; p<0.01; 1.50≤d≤1.53). No significant main and/or interaction effects were observed for the factor sex. In conclusion, knee motion strategies were modified by the factors ‘drop-height’ and/or ‘surface instability’. The combination of high drop-heights (>40 cm) together with highly unstable surfaces should be used cautiously during plyometrics because this may increase the risk of injury due to higher knee valgus stress.

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The effects of attentional focus on jump performance and knee joint kinematics in patients after ACL reconstruction

Physical Therapy in Sport ◽

10.1016/j.ptsp.2014.06.002 ◽

2015 ◽

Vol 16 (2) ◽

pp. 114-120 ◽

Cited By ~ 43

Author(s):

Alli Gokeler ◽

Anne Benjaminse ◽

Wouter Welling ◽

Malou Alferink ◽

Peter Eppinga ◽

...

Keyword(s):

Knee Joint ◽

Acl Reconstruction ◽

Attentional Focus ◽

Joint Kinematics ◽

Jump Performance ◽

Knee Joint Kinematics

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Closing the Wearable Gap—Part VIII: A Validation Study for a Smart Knee Brace to Capture Knee Joint Kinematics

Biomechanics ◽

10.3390/biomechanics1010012 ◽

2021 ◽

Vol 1 (1) ◽

pp. 152-162

Author(s):

Alana J. Turner ◽

Will Carroll ◽

Sachini N. K. Kodithuwakku Arachchige ◽

David Saucier ◽

Reuben F. Burch V ◽

...

Keyword(s):

Knee Joint ◽

Motion Capture ◽

Knee Flexion ◽

Goodness Of Fit ◽

Weight Bearing ◽

Critical Role ◽

Joint Kinematics ◽

Knee Brace ◽

Flexion Extension ◽

Knee Joint Kinematics

Background: Wearable technology is used by clinicians and researchers and play a critical role in biomechanical assessments and rehabilitation. Objective: The purpose of this research is to validate a soft robotic stretch (SRS) sensor embedded in a compression knee brace (smart knee brace) against a motion capture system focusing on knee joint kinematics. Methods: Sixteen participants donned the smart knee brace and completed three separate tasks: non-weight bearing knee flexion/extension, bodyweight air squats, and gait trials. Adjusted R2 for goodness of fit (R2), root mean square error (RMSE), and mean absolute error (MAE) between the SRS sensor and motion capture kinematic data for all three tasks were assessed. Results: For knee flexion/extension: R2 = 0.799, RMSE = 5.470, MAE = 4.560; for bodyweight air squats: R2 = 0.957, RMSE = 8.127, MAE = 6.870; and for gait trials: R2 = 0.565, RMSE = 9.190, MAE = 7.530 were observed. Conclusions: The smart knee brace demonstrated a higher goodness of fit and accuracy during weight-bearing air squats followed by non-weight bearing knee flexion/extension and a lower goodness of fit and accuracy during gait, which can be attributed to the SRS sensor position and orientation, rather than range of motion achieved in each task.

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Combined Effects of Fatigue and Surface Instability on Jump Biomechanics in Elite Athletes

International Journal of Sports Medicine ◽

10.1055/s-0043-111894 ◽

2017 ◽

Vol 38 (10) ◽

pp. 781-790 ◽

Cited By ~ 1

Author(s):

Olaf Prieske ◽

Marie Demps ◽

Melanie Lesinski ◽

Urs Granacher

Keyword(s):

Ground Reaction Force ◽

Knee Flexion ◽

Reaction Force ◽

Surface Instability ◽

Knee Valgus ◽

Drop Jump ◽

Jump Performance ◽

Peak Knee ◽

Volleyball Players ◽

Stable Surfaces

AbstractThe present study aimed to examine the effects of fatigue and surface instability on kinetic and kinematic jump performance measures. Ten female and 10 male elite volleyball players (18±2 years) performed repetitive vertical double-leg box jumps until failure. Pre and post fatigue, jump height/performance index, ground reaction force and knee flexion/valgus angles were assessed during drop and countermovement jumps on stable and unstable surfaces. Fatigue, surface condition, and sex resulted in significantly lower drop jump performance and ground reaction force (p≤0.031, 1.1≤d≤3.5). Additionally, drop jump knee flexion angles were significantly lower following fatigue (p=0.006, d=1.5). A significant fatigue×surface×sex interaction (p=0.020, d=1.2) revealed fatigue-related decrements in drop jump peak knee flexion angles under unstable conditions and in men only. Knee valgus angles were higher on unstable compared to stable surfaces during drop jumps and in females compared to males during drop and countermovement jumps (p≤0.054, 1.0≤d≤1.1). Significant surface×sex interactions during countermovement jumps (p=0.002, d=1.9) indicated that knee valgus angles at onset of ground contact were significantly lower on unstable compared to stable surfaces in males but higher in females. Our findings revealed that fatigue and surface instability resulted in sex-specific knee motion strategies during jumping in elite volleyball players.

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Movement direction impacts knee joint kinematics during elliptical exercise at varying incline angles

The Knee ◽

10.1016/j.knee.2021.02.008 ◽

2021 ◽

Vol 29 ◽

pp. 201-207

Author(s):

Erik T. Hummer ◽

Eryn N. Murphy ◽

David N. Suprak ◽

Lorrie R. Brilla ◽

Jun G. San Juan

Keyword(s):

Knee Joint ◽

Joint Kinematics ◽

Movement Direction ◽

Knee Joint Kinematics

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Knee joint kinematics from familiarised treadmill walking can be generalised to overground walking in young unimpaired subjects

Gait & Posture ◽

10.1016/s0966-6362(99)00048-x ◽

2000 ◽

Vol 11 (1) ◽

pp. 46-53 ◽

Cited By ~ 159

Author(s):

Angelo Matsas ◽

Nicholas Taylor ◽

Helen McBurney

Keyword(s):

Knee Joint ◽

Joint Kinematics ◽

Treadmill Walking ◽

Overground Walking ◽

Knee Joint Kinematics

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Alterations in sagittal-plane knee joint kinematics and kinetics during gait in knee osteoarthritis patients with complaints of instability

Osteoarthritis and Cartilage ◽

10.1016/j.joca.2013.02.190 ◽

2013 ◽

Vol 21 ◽

pp. S88 ◽

Cited By ~ 1

Author(s):

S. Farrokhi ◽

M. O'Connell ◽

A. Gil ◽

G. Kelley Fitzgerald

Keyword(s):

Knee Joint ◽

Knee Osteoarthritis ◽

Sagittal Plane ◽

Joint Kinematics ◽

Knee Joint Kinematics ◽

Kinematics And Kinetics

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Some investigations of the accuracy of knee joint kinematics

Journal of Biomechanics ◽

10.1016/0021-9290(77)90066-5 ◽

1977 ◽

Vol 10 (10) ◽

pp. 659-673 ◽

Cited By ~ 15

Author(s):

Richard P. Duke ◽

James H. Somerset ◽

Paul Blacharski ◽

David G. Murray

Keyword(s):

Knee Joint ◽

Joint Kinematics ◽

Knee Joint Kinematics

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The Effect of the Accuracy of Various Measuring Devices on Recorded Joint Kinematics

Advances in Bioengineering ◽

10.1115/imece2004-61551 ◽

2004 ◽

Author(s):

Susan M. Moore ◽

Mary T. Gabriel ◽

Maribeth Thomas ◽

Jennifer Zeminski ◽

Savio L.-Y. Woo ◽

...

Keyword(s):

Knee Joint ◽

Coordinate System ◽

Joint Kinematics ◽

Optical Tracking ◽

Global Coordinate System ◽

Coordinate Systems ◽

Measurement Device ◽

Knee Joint Kinematics ◽

Measurement Devices ◽

Tracking Device

Knowledge of joint kinematics contributes to the understanding of the function of soft tissue restraints, injury mechanisms, and can be used to evaluate surgical repair techniques. (Tibone, McMahon et al. 1998; Karduna, McClure et al. 2001; Abramowitch, Papageorgiou et al. 2003) Previous studies have measured joint kinematics using a variety of non-invasive methods that include: optical tracking, magnetic tracking, and mechanical linkage systems. (Rudins, Laskowski et al. 1997; Apreleva, Hasselman et al. 1998; Gabriel, Wong et al. 2004) These measurement devices report kinematics of rigid bodies with respect their own global coordinate system. However, it is often useful to understand these kinematics in terms of a coordinate system whose axes coincide with the degrees of freedom of each specific joint (anatomical coordinate systems). Once the kinematics are obtained with respect to the global coordinate system of the measurement device, the joint kinematics can be calculated with respect to anatomical coordinate systems if the relationship between the measurement device and the anatomical coordinate systems are known. Although the accuracy of these kinematic measurement devices is provided by the manufacturer, the effect of their accuracy on joint kinematics reported with respect to anatomical coordinate systems must be determined. (Panjabi, Goel et al. 1982; Crisco, Chen et al. 1994) For example, small errors in orientation of the measurement system could lead to large errors in position for an anatomical coordinate system located at some distance away. As researchers report joint kinematics with respect to the anatomical coordinate systems, understanding the errors produced by one’s measurement device with respect to the anatomical coordinate systems is necessary. Further, a great deal of interest exists for studying knee joint kinematics. (Sakane, Livesay et al. 1999; Lephart, Ferris et al. 2002; Ford, Myer et al. 2003) Within our research center our goal is to collect knee joint kinematics of a cadaver and reproduce them with respect to the anatomical coordinate systems using robotic technology. Therefore, the objective of this study was to determine the effect of the accuracy of three measurement devices (optical tracking device-OptoTrak® 3020, magnetic tracking device-Flock of Birds®, instrumented spatial linkage-EnduraTec Corp.) on knee joint kinematics reported with respect to an anatomical coordinate system.

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Using MR Imaging and X-Ray Fluoroscopy to Quantify the Effects of Soft-Tissue Artifact on Measurement of Knee-Joint Kinematics

ASME 2009 Summer Bioengineering Conference, Parts A and B ◽

10.1115/sbc2009-206551 ◽

2009 ◽

Author(s):

Massoud Akbarshahi ◽

Justin W. Fernandez ◽

Anthony Schache ◽

Richard Baker ◽

Marcus G. Pandy

Keyword(s):

Soft Tissue ◽

Knee Joint ◽

Soft Tissues ◽

Surgical Techniques ◽

Joint Kinematics ◽

Segmental Motion ◽

Coordinate Systems ◽

Knee Joint Kinematics ◽

Soft Tissue Artifact

The ability to accurately measure joint kinematics in vivo is of critical importance to researchers in the field of biomechanics [1]. Applications range from the quantitative evaluation of different surgical techniques, treatment methods and/or implant designs, to the development of computer-based models capable of simulating normal and pathological musculoskeletal conditions [1,2]. Currently, non-invasive marker-based three dimensional (3D) motion analysis is the most commonly used method for quantitative assessment of normal and pathological locomotion. The accuracy of this technique is influenced by movement of the soft tissues relative to the underlying bones, which causes inaccuracies in the determination of segmental anatomical coordinate systems and tracking of segmental motion. The purpose of this study was to quantify the errors in the measurement of knee-joint kinematics due solely to soft-tissue artifact (STA) in healthy subjects. To facilitate valid inter-subject comparisons of the kinematic data, relevant anatomical coordinate systems were defined using 3D bone models generated from magnetic resonance imaging (MRI).

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