ReviewComputational and mathematical methods in medicine2015
Review of Modelling Techniques for In Vivo Muscle Force Estimation in the Lower Extremities during Strength Training.
Review in Computational and mathematical methods in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Is EMG Information Necessary for Deep Learning Estimation of Joint and Muscle Level States?IEEE transactions on bio-medical engineering · 2026Article
- Comparison of synergy extrapolation and static optimization for estimating multiple unmeasured muscle activations during walking.Journal of neuroengineering and rehabilitation · 2024Article
- Female Lower Body Muscle Forces: A Musculoskeletal Modeling Comparison of Back Squats, Split Squats and Good Mornings.Journal of functional morphology and kinesiology · 2024Article
- Pilot study: is there an influence of lower limb positioning during magnetic resonance imaging on muscle cross section shape assessment in the thigh?BMC research notes · 2023Article
- First Insights in the Relationship between Lower Limb Anatomy and Back Squat Performance in Resistance-Trained Males and Females.Bioengineering (Basel, Switzerland) · 2023Article
- Chest Exercises: Movement and Loading of Shoulder, Elbow and Wrist Joints.Sports (Basel, Switzerland) · 2022Article
- Feasibility and validity of a single camera CNN driven musculoskeletal model for muscle force estimation during upper extremity strength exercises: Proof-of-concept.Frontiers in sports and active living · 2022Article
- EMG-driven musculoskeletal model calibration with estimation of unmeasured muscle excitationsFrontiers in bioengineering and biotechnology · 2022Article
- Effect of rotator cuff muscle activation on glenohumeral kinematics: A cadaveric study.Journal of biomechanics · 2020Article
- The Capacity of Generic Musculoskeletal Simulations to Predict Knee Joint Loading Using the CAMS-Knee Datasets.Annals of biomedical engineering · 2020Article
- Functional resistance training during walking: Mode of application differentially affects gait biomechanics and muscle activation patterns.Gait & posture · 2020Article
- Host Mesh Fitting of a Generic Musculoskeletal Model of the Lower Limbs to Subject-Specific Body Surface Data: A Validation Study.Applied bionics and biomechanics · 2019Article
- Towards Subject-Specific Strength Training Design through Predictive Use of Musculoskeletal Models.Applied bionics and biomechanics · 2018Article
- Towards evidence based strength training: a comparison of muscle forces during deadlifts, goodmornings and split squats.BMC sports science, medicine & rehabilitation · 2017Article
- The Isokinetic and Electromyographic Assessment of Knee Muscles Strength in the Short- and Long-Term Type 2 Diabetes.Asian journal of sports medicine · 2016Article
- Relation of selective voluntary motor control of the lower extremity and extensor strength of the knee joint in children with spastic diplegia.Journal of physical therapy science · 2016Article
- The influence of muscle-tendon forces on ACL loading during jump landing: a systematic review.Muscles, ligaments and tendons journalReview
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundKnowledge of the musculoskeletal loading conditions during strength training is essential for performance monitoring, injury prevention, rehabilitation, and training design. However, measuring muscle forces during exercise performance as a primary determinant of training efficacy and safety has remained challenging.
methodsIn this paper we review existing computational techniques to determine muscle forces in the lower limbs during strength exercises in vivo and discuss their potential for uptake into sports training and rehabilitation.
resultsMuscle forces during exercise performance have almost exclusively been analysed using so-called forward dynamics simulations, inverse dynamics techniques, or alternative methods. Musculoskeletal models based on forward dynamics analyses have led to considerable new insights into muscular coordination, strength, and power during dynamic ballistic movement activities, resulting in, for example, improved techniques for optimal performance of the squat jump, while quasi-static inverse dynamics optimisation and EMG-driven modelling have helped to provide an understanding of low-speed exercises.
conclusionThe present review introduces the different computational techniques and outlines their advantages and disadvantages for the informed usage by nonexperts. With sufficient validation and widespread application, muscle force calculations during strength exercises in vivo are expected to provide biomechanically based evidence for clinicians and therapists to evaluate and improve training guidelines.
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