Using EMG data to constrain optimization procedure improves finger tendon tension estimations during static fingertip force production

Vigouroux, Laurent; Quaine, Franck; Labarre-Vila, Annick; Amarantini, David; Moutet, F.

doi:10.1016/j.jbiomech.2007.03.010

Cited by 60 publications

(41 citation statements)

References 48 publications

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“…Unfortunately, it is not possible to fully validate estimates of muscle capacities since the direct measurement of all forearm muscle forces is technically difficult and ethically unreasonable. Nonetheless, the differences between estimated and measured activations were in agreement with results of studies comparing estimates from EMG and musculoskeletal models (Valero-Cuevas et al, 1998;Vigouroux, Quaine, Labarre-Vila, Amarantini, & Moutet, 2007). This suggests that the estimated co-contraction levels were realistic and therefore that the levels of muscle capacities were also physiologically realistic.…”

Section: Discussionsupporting

confidence: 80%

Assessment of the risk and biomechanical consequences of lateral epicondylalgia by estimating wrist and finger muscle capacities in tennis players

Vigouroux

Monsabert

Hayot

et al. 2016

Sports Biomechanics

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Previous studies suggested that a pronounced weakness of the extensor muscles relative to the flexor muscles could increase the risk of occurrence of lateral epicondylalgia. This study investigates this hypothesis by estimating the ratio of extensor to flexor muscle capacities among healthy non-players (n = 10), healthy tennis players (n = 20), symptomatic players (n = 6), and players who have recovered from lateral epicondylalgia (n = 6). Maximum net joint moments in flexion or extension were measured during seven tasks involving the voluntary contraction of wrist and fingers. Using these data, the muscle capacities of the main muscle groups of the hand (wrist flexors, wrist extensors, finger flexors, finger extensors, and intrinsic muscles) were estimated using a musculoskeletal model. These capacities were then used to compute the extensor/flexor capacity ratios about the wrist and the finger joints. Compared to healthy nonplayers, healthy players presented higher extensor muscle capacities and greater capacity ratios showing that playing tennis generates specific adaptations of muscle capacities. Interestingly, symptomatic players, similar to those of non-players, showed more imbalanced ratios than healthy players. These results confirm that the ratio of extensor/flexor muscle capacities seems to be associated with lateral epicondylalgia and can be further used to understand its incidence and consequences.

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Section: Discussionsupporting

confidence: 80%

Assessment of the risk and biomechanical consequences of lateral epicondylalgia by estimating wrist and finger muscle capacities in tennis players

Vigouroux

Monsabert

Hayot

et al. 2016

Sports Biomechanics

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“…Several models describe different methodologies to evaluate the finger tensions. These models investigate single finger or four fingers force production (Vigouroux et al, 2007;Chalfoun et al, 2005;Sancho-Bru et al, 2001;Valero-Cuevas et al, 1998, Brook et al, 1995. However, in all cases, the adjacent fingers are considered independent and no functional link between them is included.…”

Section: Introductionmentioning

confidence: 99%

Motor control theories improve biomechanical model of the hand for finger pressing tasks

Paclet¹,

Quaine²

2012

Journal of Biomechanics

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“…Subsequent work on the role of fluid transport in the joint as a result of common loading activities and the finger joints may then provide a fruitful paradigm for evaluating the effects of loading on long-term cartilage damage and repair. Additional improvements to the model may include electromyographic data of In contrast, subchondral stresses indicated a high sensitivity to changes in Young's modulus of the cancellous bone as the modulus was varied across a wide range of physiologically relevant values muscle activation for various activities [9,26] or, where experimentally feasible, the use of magnetic resonance imagingbased characterization of local tissue deformations [7,21]. Ultimately, these results illustrate how common activities may have a highly strenuous effect on the hand and stresses at the joints and advance the work done in previous studies to describe how joint stresses distribute at the contact region.…”

Section: Discussionmentioning

confidence: 99%

A three-dimensional finite element analysis of finger joint stresses in the MCP joint while performing common tasks

Butz

Merrell

Nauman

2012

HAND

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The goal of this study was to develop a threedimensional finite element model of the metacarpophalangeal (MCP) joint to characterize joint contact stresses incurred during common daily activities. The metacarpal and proximal phalanx were modeled using a COMSOL-based finite element analysis. Muscle forces determined from a static force analysis of two common activities (pen grip and carrying a weight) were applied to the simulation to characterize the surface stress distributions at the MCP joint. The finite element analysis predicted that stresses as high as 1.9 MPa, similar in magnitude to stresses experienced at the hip, may be experienced by the subchondral bone in the MCP joint. The internal structure and material properties of the phalanges were found to play a significant role in both the magnitude and distribution of stresses, but the dependence on cancellous bone modulus was not as severe as predicted by previous two dimensional models.

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Using EMG data to constrain optimization procedure improves finger tendon tension estimations during static fingertip force production

Cited by 60 publications

References 48 publications

Assessment of the risk and biomechanical consequences of lateral epicondylalgia by estimating wrist and finger muscle capacities in tennis players

Assessment of the risk and biomechanical consequences of lateral epicondylalgia by estimating wrist and finger muscle capacities in tennis players

Motor control theories improve biomechanical model of the hand for finger pressing tasks

A three-dimensional finite element analysis of finger joint stresses in the MCP joint while performing common tasks

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