An optimization approach to tendon force analysis

Penrod, D.D.; Davy, Dwight T.; Singh, Devi

doi:10.1016/0021-9290(74)90050-5

Cited by 204 publications

(25 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A unique solution to the problem of distributing the external load between the actuators can be found by minimizing an appropriate function J of the muscle forces, as proposed in previous works (Seireg and Arvikar, 1973;Penrod et al, 1974;Pedotti et al, 1978;Crowninshield and Brand, 1981). The objective function can be minimized under the constraints of mechanical equilibrium at the joints and physiological limits for muscle tensions, such that the general optimization problem can be expressed as follows:…”

Section: Load Sharing Problemmentioning

confidence: 99%

An open source lower limb model: Hip joint validation

Modenese¹,

Phillips²,

Bull³

2011

Journal of Biomechanics

142

149

View full text Add to dashboard Cite

show abstract

Section: Load Sharing Problemmentioning

confidence: 99%

An open source lower limb model: Hip joint validation

Modenese¹,

Phillips²,

Bull³

2011

Journal of Biomechanics

142

149

View full text Add to dashboard Cite

show abstract

“…The cost function can be based upon muscle stress, force, energy, fatigue, etc., and the constraints usually dictate that the muscle forces can apply tension only, must satisfy the equilibrium equations and fall within reasonable upper (tetanic muscle force) and lower (negligible force) muscle force limits (Karlsson & Peterson 1992). The first optimization models were developed to simulate muscular load sharing at other joints (Penrod et al 1974;Seireg & Arvikar 1975), and the shoulder represents a more recent application. The first three-dimensional model of shoulder muscle force estimation was extensively described by Karlsson & Peterson (1992) and was later followed by the most frequently cited and implemented model to date (van der Helm 1994b).…”

Section: (B ) Muscle Force Estimationmentioning

confidence: 99%

Numerical modelling of the shoulder for clinical applications

Favre

Snedeker

Gerber

2009

Phil. Trans. R. Soc. A.

View full text Add to dashboard Cite

Research activity involving numerical models of the shoulder is dramatically increasing, driven by growing rates of injury and the need to better understand shoulder joint pathologies to develop therapeutic strategies. Based on the type of clinical question they can address, existing models can be broadly categorized into three groups: (i) rigid body models that can simulate kinematics, collisions between entities or wrapping of the muscles over the bones, and which have been used to investigate joint kinematics and ergonomics, and are often coupled with (ii) muscle force estimation techniques, consisting mainly of optimization methods and electromyography-driven models, to simulate muscular action and joint reaction forces to address issues in joint stability, muscular rehabilitation or muscle transfer, and (iii) deformable models that account for stress-strain distributions in the component structures to study articular degeneration, implant failure or muscle/tendon/bone integrity. The state of the art in numerical modelling of the shoulder is reviewed, and the advantages, limitations and potential clinical applications of these modelling approaches are critically discussed. This review concentrates primarily on muscle force estimation modelling, with emphasis on a novel muscle recruitment paradigm, compared with traditionally applied optimization methods. Finally, the necessary benchmarks for validating shoulder models, the emerging technologies that will enable further advances and the future challenges in the field are described.

show abstract

“…Complex tendon forces Reduction Smith et al (1964) 2D, scaled tendon forces Smith et al (1964) 3D, some forces set equal to zero Optimization Seireg & Arvikar (1973) Objective function with constraints Penrod (1974) Objective function with constraints Chao & An (1978) 3D, linear programming An et al (1985) 3D, linear programming Combined Chao & An (1978) Graphical, optimization Weightman & Amis (1982) Some F ϭ 0, some F @ muscle area…”

Section: Critical Evaluation and Discussionmentioning

confidence: 99%

“…An alternate method using a typical optimization technique was suggested by Seireg and Arvikar (1973) and Penrod, Davy, and Singh (1974). In this approach, force equilibrium equations and anatomical constraint relationships were used for the equality constraints and the physiological limits on the tendon, muscle and joint forces were applied as the inequality constraints.…”

Section: Optimization Methodsmentioning

confidence: 99%

Wrist and tendon dynamics as contributory risk factors in work-related musculoskeletal disorders

2005

View full text Add to dashboard Cite

Many studies have shown that repetitive wrist motion is a major risk factor for work-related musculoskeletal disorders (WMSDs). Specific contributory factors include wrist and tendon dynamics. The authors present recent methodological advances, epidemiological studies, and biomechanical models estimating the effects of wrist dynamics on internal tendon force as a theoretical basis for the risk of incurring a WMSD. These biomechanical models utilize either the reduction method or the optimization method to solve the indeterminate problem resulting from too many internal variables. Generally, the optimization methods show the best agreement with direct in vivo tendon force studies. For the models of pinch grips, the average ratio of tendon forces to external forces ranges from 1.8 to 3.5, while for direct tendon measurements, the ratio ranges from 1.73 to 7.92. Similarly, high contributions of flexor tendons for pinches and grasps are found in both the models and direct tendon measurements. These high tendon forces combined with wrist dynamics may be a significant factor in the development of WMSDs.

show abstract

An optimization approach to tendon force analysis

Cited by 204 publications

References 2 publications

An open source lower limb model: Hip joint validation

An open source lower limb model: Hip joint validation

Numerical modelling of the shoulder for clinical applications

Wrist and tendon dynamics as contributory risk factors in work-related musculoskeletal disorders

Contact Info

Product

Resources

About