Modelling the loading mechanics of anterior cruciate ligament

Nasseri, Azadeh; Khataee, Hamid; Bryant, Adam; Lloyd, David G.; Saxby, David J.

doi:10.1016/j.cmpb.2019.105098

“…Previous computational models were developed based on small sample size data [10], assessed simplistic knee loading conditions [11], and/or did not predict experimentally measured ACL loading [12]. Recently, a phenomenological model of ACL loading during dynamic tasks was developed, validated, and applied to a standardized land and jump task [13]. Findings demonstrated ACL force was primarily generated through the sagittal plane mechanism, with muscle being the main contributor due to their lines of action.…”

Section: Introductionmentioning

confidence: 99%

Mechanism of Anterior Cruciate Ligament Loading during Dynamic Motor Tasks

Nasseri

¹

,

Lloyd

²

,

Bryant

³

et al. 2021

Medicine &Amp; Science in Sports &Amp; Exercise

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This study determined anterior cruciate ligament (ACL) force and its contributors during a standardized drop-land-lateral jump task using a validated computational model. Healthy females (n=24) who were recreationally active performed drop-land-lateral jump and straight run tasks. Three-dimensional whole-body kinematics, ground reaction forces, and muscle activation patterns from eight lower limb muscles were collected concurrently during both tasks, but only the jump was analyzed computationally, with the run included for model calibration. External biomechanics, muscle-tendon unit kinematics, and muscle activation patterns were used to model lower limb muscle and ACL forces. Peak ACL force (2.3±0.5 BW) was observed at 13% of the stance phase during the drop-land-lateral jump task. The ACL force was primarily developed through the sagittal plane, and muscle was the dominant source of ACL loading. The gastrocnemii and quadriceps were main ACL antagonists (i.e., loaders), while hamstrings were the main ACL agonists (i.e., supporters).

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“…The overall processing flow involved in using laboratory human motion data to estimate ACL force is displayed in a block diagram ( Figure 1). We will begin our explanation with the use of OpenSim [22] This modified generic musculoskeletal model was then linearly scaled to match participant gross dimensions [13] using prominent bony landmarks and hip joint centres. Following linear scaling, muscle and tendon operating ranges are not necessarily preserved , so we optimized each MTU actuator's tendon slack and optimal fibre lengths to preserve the dimensionless force-length operating curves [24].…”

Section: This Study Was Approved By the University Of Melbourne Humanmentioning

confidence: 99%

“…The ACL sag is calculated as a function of the net forces taken up by the knee ligaments ( lig net ) and knee flexion angle. The lig net is derived from (1) 2° for medial and lateral tibial slope for females were used as described in [13]).…”

Section: This Study Was Approved By the University Of Melbourne Humanmentioning

confidence: 99%

“…based on previous studies of in vivo landing mechanics [13,18] and cadaveric experiments [19], the ACL will receive the majority of its loading via the sagittal plane mechanism; based on cadaveric experiments [19], we expect the quadriceps to be the primary ACL loader (i.e., antagonists) and the hamstrings to be the main supporters (i.e., agonists). volunteered to participate in this study.…”

Section: Introductionmentioning

confidence: 98%

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Mechanism of anterior cruciate ligament loading during dynamic motor tasks

Nasseri

¹

,

Lloyd

²

,

Bryant

³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

This study determined anterior cruciate ligament (ACL) force and its contributors during a standardized drop-land-lateral jump task using a validated computational model. Healthy females (n=24) who were recreationally active performed drop-land-lateral jump and straight run tasks. Three-dimensional whole-body kinematics, ground reaction forces, and muscle activation patterns from eight lower limb muscles were collected concurrently during both tasks, but only the jump was analyzed computationally, with the run included for model calibration. External biomechanics, muscle-tendon unit kinematics, and muscle activation patterns were used to model lower limb muscle and ACL forces. Peak ACL force (2.3±0.5 BW) was observed at 13% of the stance phase during the drop-land-lateral jump task. The ACL force was primarily developed through the sagittal plane, and muscle was the dominant source of ACL loading. The gastrocnemii and quadriceps were main ACL antagonists (i.e., loaders), while hamstrings were the main ACL agonists (i.e., supporters).

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“…Additional modelling of the heart structural substrates, such as wall thickness, myofiber orientation, and fibrosis, has been achieved to inform the development of a 3D human heart-specific atrial computer model with major applications to improving outcomes for patients of atrial fibrillation. Considerable research has also been conducted into modelling the knee, with some major areas of focus being knee osteoarthritis [10] and anterior cruciate ligament ruptures [11]. Such research has the potential to reduce the prevalence of these conditions as well as improve rehabilitation outcomes for those individuals with these conditions.…”

mentioning

confidence: 99%