An investigation of tendon strains in jersey finger injury load cases using a finite element neuromuscular human body model

Nölle, Lennart V.; Alfaro, Eduardo Herrera; Martynenko, Oleksandr V.; Schmitt, Syn

doi:10.3389/fbioe.2023.1293705

Cited by 3 publications

(6 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Simulating injury using digital HBM's is complex because of the wide variety of factors that can affect the calculated risk of injury. During a vehicle collision [75], athletic injury [6], [7], or in response to vibration [5], the body's musculature may have time to activate, alter the movements of the body, and change the risk of injury. In this work, we have evaluated the accuracy of three different muscle models in LS-DYNA by simulating laboratory experiments that examine the force-length-velocity relations during maximal and submaximal activation, the response of muscle to active-lengthening, and the frequency-response of muscle.…”

Section: Discussionmentioning

confidence: 99%

“…Digital human body models (HBM) are used to evaluate the risk of injury during low-velocity vehicle collisions [1], [2], from exposure to vibration [3]- [5], and as a result of athletic accidents [6], [7]. Simulating injury-causing scenarios is challenging because the musculature of the body may have time to activate [8], altering the ensuing movement [9], [10], and affect the risk of some types of injury.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A benchmark of muscle models to length changes great and small

Millard,

Stutzig,

Fehr

et al. 2024

Preprint

View full text Add to dashboard Cite

Digital human body models are used to simulate injuries that occur as a result of vehicle collisions, vibration, sports, and falls. Given enough time the body's musculature can generate force, affect the body's movements, and change the risk of some injuries. The finite-element code LS-DYNA is often used to simulate the movements and injuries sustained by the digital human body models as a result of an accident. In this work, we evaluate the accuracy of the three muscle models in LS-DYNA (MAT_156, EHTMM, and the VEXAT) when simulating a range of experiments performed on isolated muscle: force-length-velocity experiments on maximally and sub-maximally stimulated muscle, active-lengthening experiments, and vibration experiments. The force-length-velocity experiments are included because these conditions are typical of the muscle activity that precedes an accident, while the active-lengthening and vibration experiments mimic conditions that can cause injury. The three models perform similarly during the maximally and sub-maximally activated force-length-velocity experiments, but noticeably differ in response to the active-lengthening and vibration experiments. The VEXAT model is able to generate the enhanced forces of biological muscle during active lengthening, while both the MAT_156 and EHTMM produce too little force. In response to vibration, the stiffness and damping of the VEXAT model closely follows the experimental data while the MAT_156 and EHTMM models differ substantially. The accuracy of the VEXAT model comes from two additional mechanical structures that are missing in the MAT_156 and EHTMM models: viscoelastic cross-bridges, and an active titin filament. To help others build on our work we have made our simulation code publicly available.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A benchmark of muscle models to length changes great and small

Millard,

Stutzig,

Fehr

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore, they can be easily applied to any muscle, with their inherent scalability eliminating the chance of a mismatch between the muscle material parameters and the defined injury thresholds. In contrast, only one fixed set of strain based TSIC injury thresholds has been proposed thus far [43]. This limits the applicability of the criterion to a subset of tendons which exactly match the deformation characteristics of the stress-strain curve used to define the TSIC threshold values.…”

Section: Methodsmentioning

confidence: 99%

“…The assessment of muscle and tendon strain injury severity was performed using two injury criteria, the MSIC [42] and the TSIC [43]. Both criteria categorise the grade of the sustained strain injury based on the deformation stages of the muscle and tendon (Fig 3) as previous studies [63][64][65][66] have shown that the regions of the stress-strain curve can be linked to the degree of tissue damage.…”

Section: Applied Injury Criteriamentioning

confidence: 99%

“…For example, multibody (MB) models lack deformable structures, necessary for the evaluation of many soft and hard tissue injuries. In our previous studies, two novel injury criteria for assessing the severity of muscle and tendon strain injuries, called the Muscle Strain Injury Criterion (MSIC) [42] and the Tendon Strain Injury Criterion (TSIC) [43], were developed. These criteria allow for the interpretation and evaluation of forces and strains occurring in the muscle-tendon-unit (MTU) and, as such, can be applied to any musculoskeletal model which includes a muscle material model capable of predicting MTU forces and tendon strains.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Using muscle-tendon load limits to assess unphysiological musculoskeletal model deformation and Hill-type muscle parameter choice

Nölle,

Wochner,

Hammer

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

Musculoskeletal simulations are a useful tool for improving our understanding of the human body. However, the physiological validity of predicted kinematics and forces is highly dependent upon the correct calibration of muscle parameters and the structural integrity of a model’s internal skeletal structure. In this study, we show how ill-tuned muscle parameters and unphysiological deformations of a model’s skeletal structure can be detected by using muscle elements as sensors with which modelling and parameterization inconsistencies can be identified through muscle and tendon strain injury assessment. To illustrate our approach, two modelling issues were recreated. First, a model repositioning simulation using the THUMS AM50 occupant model version 5.03 was performed to show how internal model deformations can occur during a change of model posture. Second, the muscle material parameters of the OpenSim gait2354 model were varied to illustrate how unphysiological muscle forces can arise if material parameters are inadequately calibrated. The simulations were assessed for muscle and tendon strain injuries using previously published injury criteria and a newly developed method to determine tendon strain injury threshold values. Muscle strain injuries in the left and right musculus pronator teres were detected during the model repositioning. This straining was caused by an unphysiologically large gap (12.92 mm) that had formed in the elbow joint. Similarly, muscle and tendon strain injuries were detected in the modified right-hand musculus gastrocnemius medialis of the gait2354 model where an unphysiological reduction of the tendon slack length introduced large pre-strain of the muscle-tendon-unit. The results of this work show that the proposed method can quantify the internal distortion behaviour of musculoskeletal human body models and the validity of Hill-type muscle parameter choice via strain injury assessment. Furthermore, we highlight possible actions to avoid the presented issues and inconsistencies in literature data concerning the material characteristics of human tendons.

show abstract