Literature DB >> 23370962

Evidence of muscle synergies during human grasping.

Claudio Castellini1, Patrick van der Smagt.   

Abstract

Motor synergies have been investigated since the 1980s as a simplifying representation of motor control by the nervous system. This way of representing finger positional data is in particular useful to represent the kinematics of the human hand. Whereas, so far, the focus has been on kinematic synergies, that is common patterns in the motion of the hand and fingers, we hereby also investigate their force aspects, evaluated through surface electromyography (sEMG). We especially show that force-related motor synergies exist, i.e. that muscle activation during grasping, as described by the sEMG signal, can be grouped synergistically; that these synergies are largely comparable to one another across human subjects notwithstanding the disturbances and inaccuracies typical of sEMG; and that they are physiologically feasible representations of muscular activity during grasping. Potential applications of this work include force control of mechanical hands, especially when many degrees of freedom must be simultaneously controlled.

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Year:  2013        PMID: 23370962     DOI: 10.1007/s00422-013-0548-4

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  15 in total

Review 1.  Improving the functionality, robustness, and adaptability of myoelectric control for dexterous motion restoration.

Authors:  Dapeng Yang; Yikun Gu; Nitish V Thakor; Hong Liu
Journal:  Exp Brain Res       Date:  2018-11-30       Impact factor: 1.972

Review 2.  How to improve the muscle synergy analysis methodology?

Authors:  Nicolas A Turpin; Stéphane Uriac; Georges Dalleau
Journal:  Eur J Appl Physiol       Date:  2021-01-26       Impact factor: 3.078

3.  Optimal motor synergy extraction for novel actions and virtual environments.

Authors:  Arran T Reader
Journal:  J Neurophysiol       Date:  2017-05-24       Impact factor: 2.714

Review 4.  Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands.

Authors:  Marco Santello; Matteo Bianchi; Marco Gabiccini; Emiliano Ricciardi; Gionata Salvietti; Domenico Prattichizzo; Marc Ernst; Alessandro Moscatelli; Henrik Jörntell; Astrid M L Kappers; Kostas Kyriakopoulos; Alin Albu-Schäffer; Claudio Castellini; Antonio Bicchi
Journal:  Phys Life Rev       Date:  2016-02-03       Impact factor: 11.025

5.  Differences between kinematic synergies and muscle synergies during two-digit grasping.

Authors:  Michele Tagliabue; Anna Lisa Ciancio; Thomas Brochier; Selim Eskiizmirliler; Marc A Maier
Journal:  Front Hum Neurosci       Date:  2015-03-26       Impact factor: 3.169

6.  A comparative analysis of three non-invasive human-machine interfaces for the disabled.

Authors:  Vikram Ravindra; Claudio Castellini
Journal:  Front Neurorobot       Date:  2014-10-27       Impact factor: 2.650

7.  Assessment of a Wearable Force- and Electromyography Device and Comparison of the Related Signals for Myocontrol.

Authors:  Mathilde Connan; Eduardo Ruiz Ramírez; Bernhard Vodermayer; Claudio Castellini
Journal:  Front Neurorobot       Date:  2016-11-17       Impact factor: 2.650

8.  Differences in EMG Burst Patterns During Grasping Dexterity Tests and Activities of Daily Living.

Authors:  Jen Rowson; Alaster Yoxall; Victor Gonzalez
Journal:  Front Bioeng Biotechnol       Date:  2018-05-25

9.  The Movement- and Load-Dependent Differences in the EMG Patterns of the Human Arm Muscles during Two-Joint Movements (A Preliminary Study).

Authors:  Tomasz Tomiak; Tetiana I Abramovych; Andriy V Gorkovenko; Inna V Vereshchaka; Viktor S Mishchenko; Marcin Dornowski; Alexander I Kostyukov
Journal:  Front Physiol       Date:  2016-06-08       Impact factor: 4.566

10.  Artificial neural network EMG classifier for functional hand grasp movements prediction.

Authors:  Marta Gandolla; Simona Ferrante; Giancarlo Ferrigno; Davide Baldassini; Franco Molteni; Eleonora Guanziroli; Michele Cotti Cottini; Carlo Seneci; Alessandra Pedrocchi
Journal:  J Int Med Res       Date:  2016-09-27       Impact factor: 1.671

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