Comment définir sans ambiguïté les mouvements d’une articulation : proposition de standardisation pour l’articulation trapézométacarpienne

Dumas, Raphaël; Chèze, Laurence; Fayet, Michel; Rumelhart, C.; Comtet, J. J.

doi:10.1016/j.main.2008.08.008

Cited by 10 publications

(1 citation statement)

References 18 publications

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“…opponens pollici) muscles. The biomechanics of the thumb and particularly the number of anatomical DoF of the trapezometacarpal joint remains disputed [ 20 , 21 ]. Opposition may involve axial rotation of the metacarpal bone but this movement cannot be measured with the dataglove.…”

Section: Discussionmentioning

confidence: 99%

Analysis of hand synergies in healthy subjects during bimanual manipulation of various objects

Jarrassé

Ribeiro

Sahbani

et al. 2014

J NeuroEngineering Rehabil

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BackgroundHand synergies have been extensively studied over the last few decades. Objectives of such research are numerous. In neuroscience, the aim is to improve the understanding of motor control and its ability to reduce the control dimensionality. In applied research fields like robotics the aim is to build biomimetic hand structures, or in prosthetics to design more performant underactuated replacement hands. Nevertheless, most of the synergy schemes identified to this day have been obtained from grasping experiments performed with one single (generally dominant) hand to objects placed in a given position and orientation in space. Aiming at identifying more generic synergies, we conducted similar experiments on postural synergy identification during bimanual manipulation of various objects in order to avoid the factors due to the extrinsic spatial position of the objects.MethodsTen healthy naive subjects were asked to perform a selected “grasp-give-receive” task with both hands using 9 objects. Subjects were wearing Cyberglove Ⓒ on both hands, allowing a measurement of the joint posture (15 degrees of freedom) of each hand. Postural synergies were then evaluated through Principal Component Analysis (PCA). Matches between the identified Principal Components and the human hand joints were analyzed thanks to the correlation matrix. Finally, statistical analysis was performed on the data in order to evaluate the effect of some specific variables on the hand synergies: object shape, hand side (i.e., laterality) and role (giving or receiving hand).ResultsResults on PCs are consistent with previous literature showing that a few principal components might be sufficient to describe a large variety of different grasps. Nevertheless some simple and strong correlations between PCs and clearly identified sets of hand joints were obtained in this study. In addition, these groupings of DoF corresponds to well-defined anatomo-functional finger joints according to muscle groups. Moreover, despite our protocol encouraging symmetric grasping, some right-left side differences were observed.ConclusionThe set of identified synergies presented here should be more representative of hand synergies in general since they are based on both hands motion. Preliminary results, that should be deepened, also highlight the influence of hand dominance and side. Thanks to their strong correlation with anatomo-functional joints, these synergies could therefore be used to design underactuated robotics hands.

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Section: Discussionmentioning

confidence: 99%

Analysis of hand synergies in healthy subjects during bimanual manipulation of various objects

Jarrassé

Ribeiro

Sahbani

et al. 2014

J NeuroEngineering Rehabil

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The Range of Movement of the Thumb

Barakat

Field

Taylor

2013

Hand (New York, N,Y.)

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Purpose The movements at each thumb joint are flexion and extension (called radial abduction in the CMCJ) and additional movements of anteposition, retroposition and opposition at the CMCJ, due to the saddle shape of the articulation. Our study was designed to provide a means of thumb movement measurement and provide a range for each. Methods A prospective cohort study was performed looking at 100 consecutive individuals without thumb pathology to determine thumb joint range of movements and evaluate the reliability of such measurements. Results The mean age was 26 (range of 18-37) with 62 female individuals. The mean range of movement of the IPJ was flexion of 88°(80-90°) and extension of 12°( 0-45°). That of the MCPJ was flexion of 60°(43-70°) and extension of 8.1°(0-15°). That of the CMCJ was anteposition of 61.2°(50-71°), retroposition of 31.1 mm (25-38 mm), radial abduction of 62.9°(53-71°), opposition Kapandji grade 9 (grades 9-10) and adduction of 10.2± 4°(5-20°). CMC adduction was difficult to measure with a poor intra-and inter-observer correlation (interreliability correlation coefficient of 0.02 and intrareliability coefficient of 0.04). For the remaining measurements, the mean inter-reliability correlation coefficient was 0.82 (p<0.01) while the mean intra-reliability correlation coefficient was 0.93 (p<0.01). There was negative correlation identified between IPJ extension and MCPJ extension (−0.50) and between CMCJ radial abduction and MCPJ extension (−0.60). Conclusions Having established the normal ranges of movements for the thumb joints and shown that our measurement methods are reliable and reproducible, we have identified that a reduction in certain thumb joint movements appears to be compensated for by an increased movement range in the other joints.

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Multi-scale analysis of cartilage surface for trapeziometacarpal hemi-arthroplasty

Spartacus

Vargiolu

Zahouani

et al. 2017

Biosurface and Biotribology

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Comment définir sans ambiguïté les mouvements d’une articulation : proposition de standardisation pour l’articulation trapézométacarpienne

Cited by 10 publications

References 18 publications

Analysis of hand synergies in healthy subjects during bimanual manipulation of various objects

Analysis of hand synergies in healthy subjects during bimanual manipulation of various objects

The Range of Movement of the Thumb

Multi-scale analysis of cartilage surface for trapeziometacarpal hemi-arthroplasty

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