Curve analyses reveal altered knee, hip, and trunk kinematics during drop–jumps long after anterior cruciate ligament rupture

Hébert‐Losier, Kim; Schelin, Lina; Tengman, Eva; Strong, Andrew; Häger, Charlotte

doi:10.1016/j.knee.2017.12.005

Cited by 29 publications

(17 citation statements)

References 58 publications

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“…Comprehensive information of the execution of challenging dynamic tasks (eg, hop landings) is gained when FHA methods are combined with inferential statistical methods for functional data. Functional data analysis (FDA) methods are increasingly used in biomechanics to present and compare kinematic and kinetic curves between groups; for instance, in the motor development of the vertical jump and in ACL injured versus controls during hopping …”

Section: Introductionmentioning

confidence: 99%

“…Functional data analysis (FDA) methods are increasingly used in biomechanics to present and compare kinematic and kinetic curves between groups; for instance, in the motor development of the vertical jump 15 and in ACL injured versus controls during hopping. 16,17 Since a single training session with feedback may improve discrete measures of lower limb biomechanics among athletes, 18 the question arises whether dynamic knee robustness is also improved. Utilizing both FHA and FDA methods answers whether dynamic knee robustness actually is superior in elite athletes than for non-athletic persons when performing a sport-mimicking task, or whether a superior task performance is mainly attributed to adopted movement strategies.…”

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confidence: 99%

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Dynamic knee control and movement strategies in athletes and non‐athletes in side hops: Implications for knee injury

Markström

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Schelin

et al. 2019

Scandinavian Med Sci Sports

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Athletes exposed to rapid maneuvers need a high level of dynamic knee stability and robustness, while also controlling whole body movement, to decrease the risk of non‐contact knee injury. The effects of high‐level athletic training on such measures of movement control have not, however, been thoroughly evaluated. This study investigated whether elite athletes (who regularly perform knee‐specific neuromuscular training) show greater dynamic knee robustness and/or different movement strategies than non‐athletic controls, in relation to overall knee function. Thirty‐nine women (19 athletes, 20 controls) performed standardized rebound side hops (SRSH) while a motion capture system synchronized with two force plates registered three‐dimensional trunk, hip, and knee joint angles and moments. Dynamic knee robustness was evaluated using finite helical axis (FHA) inclination angles extracted from knee rotation intervals of 10°, analyzed with independent t tests. Angle and moment curves were analyzed with inferential methods for functional data. Athletes had superior knee function (less laxity, greater hop performances, and strength) but presented similar FHA inclination angles to controls. Movement strategies during the landing phase differed; athletes presented larger (a) hip flexion angles (during 9%‐29% of the phase), (b) hip adduction moments (59%‐99%), (c) hip internal rotation moments (83%‐89%), and (d) knee flexion moments (79%‐93%). Thus, elite athletes may have a greater ability than non‐athletes to keep the knee robust while performing SRSH more efficiently through increased engagement of the hip. However, dynamic knee robustness associated with lower FHA inclination angles still show room for improvement, thus possibly decreasing knee injury risk.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Dynamic knee control and movement strategies in athletes and non‐athletes in side hops: Implications for knee injury

Markström

Grip

Schelin

et al. 2019

Scandinavian Med Sci Sports

Self Cite

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“…Moreover, instead of focusing solely on discrete variables for evaluation of biomechanics as in the present study, waveform analyses include more data over the time-period of interest. Recent attempts of such analyses (e.g., Coffey, Harrison, Donoghue, & Hayes, 2011;Hebert-Losier, Schelin, Tengman, Strong, & Häger, 2018) evaluated kinematic curves during running for persons with chronic Achilles tendon injury, and during hop tasks for persons with ACL injury in the long-term perspective, respectively. Current methods used to investigate reliability of curve data (e.g., the coefficient of multiple correlation) have been criticised (Roislien, Skare, Opheim, & Rennie, 2012), and more sophisticated methods are being discussed (Coffey et al, 2011;Roislien, Rennie, & Skaaret, 2012).…”

Section: Discussionmentioning

confidence: 99%

A novel standardised side hop test reliably evaluates landing mechanics for anterior cruciate ligament reconstructed persons and controls

Markström

Schelin

Häger

2018

Sports Biomechanics

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We propose a novel one-leg standardised rebound side-hop test (SRSH) specifically designed for detailed analysis of landing mechanics. Anterior cruciate ligament reconstructed persons (ACLR, n = 30) and healthy-knee controls (CTRL, n = 30) were tested for within-session and test-retest (CTRL only, n = 25) reliability and agreement. Trunk, hip and knee angles and moments in sagittal, frontal, and transversal planes during landing, including time to stabilisation (TTS), were evaluated using intra-class correlations (ICCs), average within-person standard deviations (S W) and minimal differences. Excellent within-session reliability were found for angles in both groups (most ICCs > 0.90, S W ≤ 5°), and excellent to good for moments (most ICCs > 0.80, S W ≤ 0.34 Nm/kg). Only knee internal rotation moment showed poor reliability (ICC < 0.4). Test-retest results were excellent to fair for all angles and moments (ICCs 0.47-0.91, S W < 5°and ≤ 0.25 Nm/kg), except for peak trunk lateral bending angle and knee internal rotation moment. TTS showed excellent to fair within-session reliability but poor test-retest results. These results, with a few exceptions, suggest promising potential of evaluating landing mechanics during the SRSH for ACLR and CTRL, and emphasise the importance of joint-specific movement control variables in standardised tasks.

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“…Lower-extremity injuries due to physical activities have devastating short-term and long-term consequences to the health and wellbeing of individuals [1,2] and burden societies worldwide [3,4]. Non-contact injuries account for approximately 20% of injuries in game situations and 37% of injuries in training situations [5].…”

Section: Introductionmentioning

confidence: 99%

The ‘DEEP’ Landing Error Scoring System

et al. 2020

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The Landing Error Scoring System (LESS) is an injury-risk screening tool used in sports; but scoring is time consuming, clinician-dependent, and generally inaccessible outside of elite sports. Our aim is to evidence that LESS scores can be automated using deep-learning-based computer vision combined with machine learning and compare the accuracy of LESS predictions using different video cropping and machine learning methods. Two-dimensional videos from 320 double-leg drop-jump landings with known LESS scores were analysed in OpenPose. Videos were cropped to key frames manually (clinician) and automatically (computer vision), and 42 kinematic features were extracted. A series of 10 × 10-fold cross-validation experiments were applied on full and balanced datasets to predict LESS scores. Random forest for regression outperformed linear and dummy regression models, yielding the lowest mean absolute error (1.23) and highest correlation (r = 0.63) between manual and automated scores. Sensitivity (0.82) and specificity (0.77) were reasonable for risk categorization (high-risk LESS ≥ 5 errors). Experiments using either a balanced (versus unbalanced) dataset or manual (versus automated) cropping method did not improve predictions. Further research on the automation would enhance the strength of the agreement between clinical and automated scores beyond its current levels, enabling quasi real-time scoring.

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Curve analyses reveal altered knee, hip, and trunk kinematics during drop–jumps long after anterior cruciate ligament rupture

Cited by 29 publications

References 58 publications

Dynamic knee control and movement strategies in athletes and non‐athletes in side hops: Implications for knee injury

Dynamic knee control and movement strategies in athletes and non‐athletes in side hops: Implications for knee injury

A novel standardised side hop test reliably evaluates landing mechanics for anterior cruciate ligament reconstructed persons and controls

The ‘DEEP’ Landing Error Scoring System

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