A scaling method to individualise muscle force capacities in musculoskeletal models of the hand and wrist using isometric strength measurements

Monsabert, Benjamin Goislard de; Rao, Guillaume; Gay, A.; Berton, Éric; Vigouroux, Laurent

doi:10.1007/s11517-017-1662-6

Cited by 10 publications

(6 citation statements)

References 49 publications

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“…The successful use of MATLAB-SQP in highly nonlinear inverse problems taken from very different fields (e.g., optical super-resolution with evanescent illumination, visco-hyperelasticity of cell membranes, damage detection etc.) is well documented in the literature (see, for example, [11,12,14,177,178,179]).…”

Section: Test Problems and Resultsmentioning

confidence: 91%

Mechanical Identification of Materials and Structures with Optical Methods and Metaheuristic Optimization

2019

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This study presents a hybrid framework for mechanical identification of materials and structures. The inverse problem is solved by combining experimental measurements performed by optical methods and non-linear optimization using metaheuristic algorithms. In particular, we develop three advanced formulations of Simulated Annealing (SA), Harmony Search (HS) and Big Bang-Big Crunch (BBBC) including enhanced approximate line search and computationally cheap gradient evaluation strategies. The rationale behind the new algorithms—denoted as Hybrid Fast Simulated Annealing (HFSA), Hybrid Fast Harmony Search (HFHS) and Hybrid Fast Big Bang-Big Crunch (HFBBBC)—is to generate high quality trial designs lying on a properly selected set of descent directions. Besides hybridizing SA/HS/BBBC metaheuristic search engines with gradient information and approximate line search, HS and BBBC are also hybridized with an enhanced 1-D probabilistic search derived from SA. The results obtained in three inverse problems regarding composite and transversely isotropic hyperelastic materials/structures with up to 17 unknown properties clearly demonstrate the validity of the proposed approach, which allows to significantly reduce the number of structural analyses with respect to previous SA/HS/BBBC formulations and improves robustness of metaheuristic search engines.

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Section: Test Problems and Resultsmentioning

confidence: 91%

Mechanical Identification of Materials and Structures with Optical Methods and Metaheuristic Optimization

2019

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“…Before placing electrodes, the skin was shaved, sanded and rinsed with an alcoholic solution. The placement of the electrodes followed a previous study 30 . Subjects also performed functional tasks 30,31 , facilitating the activation of each muscle, to verify correct placement of the electrodes to avoid cross-talk issues.…”

Section: Methodsmentioning

confidence: 99%

Complex couplings between joints, muscles and performance: the role of the wrist in grasping

Caumes

Monsabert

Hauraix

et al. 2019

Sci Rep

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The relationship between posture, muscle length properties and performance remains unclear, because of a lack of quantitative data. Studies on grasping tasks suggested that wrist position could favour the extrinsic finger flexor in regards to their length to maximise grip force performance. The present study aimed at providing quantitative evidence of the links between wrist posture, muscle capacities and grip capabilities. It combines experimental measurements and a musculoskeletal model including the force-length relationship of the four prime muscles used in grasping. Participants exerted their maximum grip force on a cylindrical dynamometer in four different wrist postures, including one freely chosen by participants (spontaneous). A musculoskeletal model computed the muscle force level and length from motion capture and muscle activation. Results revealed that participants exerted maximum grip force spontaneously, with a loss of force when using other postures. At muscle force and length level, grip force variation seems to be associated with all the muscles under study. This observation led to a first quantitative link between power grip, posture and muscle properties, which could provide more insight into neuromechanical interaction involved when grasping. The design of ergonomic devices could also benefit from this quantification of the relationship between wrist angle and muscle length properties.

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“…The maximum force boundary ensures that tendon forces do not exceed their total physiological muscle forces. These were estimated for each muscle at a specific tension of 32 N/cm2 ( de Monsabert et al, 2017 ) using physiological cross sectional areas (PCSAs) derived from muscle volumes of young healthy subjects ( Holzbaur et al, 2007 ) ( Table 1 ).…”

Section: Methodsmentioning

confidence: 99%

Evaluation of a cadaveric wrist motion simulator using marker-based X-ray reconstruction of moving morphology

Glanville,

Bates,

Brown

et al. 2024

PeerJ

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Surgical intervention is a common option for the treatment of wrist joint arthritis and traumatic wrist injury. Whether this surgery is arthrodesis or a motion preserving procedure such as arthroplasty, wrist joint biomechanics are inevitably altered. To evaluate effects of surgery on parameters such as range of motion, efficiency and carpal kinematics, repeatable and controlled motion of cadaveric specimens is required. This study describes the development of a device that enables cadaveric wrist motion to be simulated before and after motion preserving surgery in a highly controlled manner. The simulator achieves joint motion through the application of predetermined displacements to the five major tendons of the wrist, and records tendon forces. A pilot experiment using six wrists aimed to evaluate its accuracy and reproducibility. Biplanar X-ray videoradiography (BPVR) and X-Ray Reconstruction of Moving Morphology (XROMM) were used to measure overall wrist angles before and after total wrist arthroplasty. The simulator was able to produce flexion, extension, radioulnar deviation, dart thrower’s motion and circumduction within previously reported functional ranges of motion. Pre- and post-surgical wrist angles did not significantly differ. Intra-specimen motion trials were repeatable; root mean square errors between individual trials and average wrist angle and tendon force profiles were below 1° and 2 N respectively. Inter-specimen variation was higher, likely due to anatomical variation and lack of wrist position feedback. In conclusion, combining repeatable intra-specimen cadaveric motion simulation with BPVR and XROMM can be used to determine potential effects of motion preserving surgeries on wrist range of motion and biomechanics.

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A scaling method to individualise muscle force capacities in musculoskeletal models of the hand and wrist using isometric strength measurements

Cited by 10 publications

References 49 publications

Mechanical Identification of Materials and Structures with Optical Methods and Metaheuristic Optimization

Mechanical Identification of Materials and Structures with Optical Methods and Metaheuristic Optimization

Complex couplings between joints, muscles and performance: the role of the wrist in grasping

Evaluation of a cadaveric wrist motion simulator using marker-based X-ray reconstruction of moving morphology

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