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

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, July 2014
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Title
Analysis of hand synergies in healthy subjects during bimanual manipulation of various objects
Published in
Journal of NeuroEngineering and Rehabilitation, July 2014
DOI 10.1186/1743-0003-11-113
Pubmed ID
Authors

Nathanaël Jarrassé, Adriano Tacilo Ribeiro, Anis Sahbani, Wael Bachta, Agnes Roby-Brami

Abstract

Hand 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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 82 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 20%
Researcher 14 17%
Student > Master 10 12%
Professor 7 8%
Student > Doctoral Student 7 8%
Other 10 12%
Unknown 18 22%
Readers by discipline Count As %
Engineering 23 28%
Neuroscience 13 16%
Medicine and Dentistry 9 11%
Computer Science 5 6%
Sports and Recreations 5 6%
Other 9 11%
Unknown 19 23%