ArticleJournal of biomechanics2019
A computationally efficient strategy to estimate muscle forces in a finite element musculoskeletal model of the lower limb.
Article in Journal of biomechanics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- A Muscle-Driven Lumbar Spine Model for Predicting Vibration-Induced Spinal Loads with Adaptive Control.Annals of biomedical engineering · 2026Article
- Quantifying dynamic muscle lengths and moment arms of musculoskeletal joints using FEBio studio: A demonstration in the glenohumeral joint.Journal of biomechanics · 2026Article
- Neural Implicit Shape and Intensity Models for Scan-Free 2D-3D Registration in Dynamic Stereo-Radiography.Annals of biomedical engineering · 2026Article
- Is EMG Information Necessary for Deep Learning Estimation of Joint and Muscle Level States?IEEE transactions on bio-medical engineering · 2026Article
- Subject-Specific Musculoskeletal Modeling: The Future of Predicting and Preventing Proximal Junctional Failure in Adult Spinal Deformity.JOR spine · 2025Article
- A review of finite element modeling and surgical simulation of meniscal tear in knee joint: progress and challenges.Frontiers in medicine · 2025Review
- Scan-Free and Fully Automatic Tracking of Native Knee Anatomy from Dynamic Stereo-Radiography with Statistical Shape and Intensity Models.Annals of biomedical engineering · 2024Article
- Finite Element Model of the Shoulder with Active Rotator Cuff Muscles: Application to Wheelchair Propulsion.Annals of biomedical engineering · 2024Article
- Model Properties and Clinical Application in the Finite Element Analysis of Knee Joint: A Review.Orthopaedic surgery · 2024Review
- Article
- How mechanics of individual muscle-tendon units define knee and ankle joint function in health and cerebral palsy-a narrative review.Frontiers in bioengineering and biotechnology · 2023Review
- Biomechanical effects of medial meniscus radial tears on the knee joint during gait: A concurrent finite element musculoskeletal framework investigation.Frontiers in bioengineering and biotechnology · 2022Article
- A Critical Review of the Design, Manufacture, and Evaluation of Bone Joint Replacements for Bone Repair.Materials (Basel, Switzerland) · 2021Review
- Apparatus for In Vivo Knee Laxity Assessment Using High-Speed Stereo Radiography.Journal of medical devices · 2021Article
- Integration of neural architecture within a finite element framework for improved neuromusculoskeletal modeling.Scientific reports · 2021Article
- Hamstrings Contraction Regulates the Magnitude and Timing of the Peak ACL Loading During the Drop Vertical Jump in Female Athletes.Orthopaedic journal of sports medicine · 2021Article
- Anterior Cruciate Ligament Loading Increases With Pivot-Shift Mechanism During Asymmetrical Drop Vertical Jump in Female Athletes.Orthopaedic journal of sports medicine · 2021Article
- ReadySim: A computational framework for building explicit finite element musculoskeletal simulations directly from motion laboratory data.International journal for numerical methods in biomedical engineering · 2020Article
- Contribution of hip and knee muscles to lateral knee stability during gait.Journal of physical therapy science · 2020Article
- Knee Abduction and Internal Rotation Moments Increase ACL Force During Landing Through the Posterior Slope of the Tibia.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2019Article
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4 authors.
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Abstract
Concurrent multiscale simulation strategies are required in computational biomechanics to study the interdependence between body scales. However, detailed finite element models rarely include muscle recruitment due to the computational burden of both the finite element method and the optimization strategies widely used to estimate muscle forces. The aim of this study was twofold: first, to develop a computationally efficient muscle force prediction strategy based on proportional-integral-derivative (PID) controllers to track gait and chair rise experimental joint motion with a finite element musculoskeletal model of the lower limb, including a deformable knee representation with 12 degrees of freedom; and, second, to demonstrate that the inclusion of joint-level deformability affects muscle force estimation by using two different knee models and comparing muscle forces between the two solutions. The PID control strategy tracked experimental hip, knee, and ankle flexion/extension with root mean square errors below 1°, and estimated muscle, contact and ligament forces in good agreement with previous results and electromyography signals. Differences up to 11% and 20% in the vasti and biceps femoris forces, respectively, were observed between the two knee models, which might be attributed to a combination of differing joint contact geometry, ligament behavior, joint kinematics, and muscle moment arms. The tracking strategy developed in this study addressed the inevitable tradeoff between computational cost and model detail in musculoskeletal simulations and can be used with finite element musculoskeletal models to efficiently estimate the interdependence between muscle forces and tissue deformation.
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