Literature DB >> 26441423

Robustness and Reliability of Synergy-Based Myocontrol of a Multiple Degree of Freedom Robotic Arm.

Francesca Lunardini, Claudia Casellato, Andrea d'Avella, Terence D Sanger, Alessandra Pedrocchi.   

Abstract

In this study, we test the feasibility of the synergy- based approach for application in the realistic and clinically oriented framework of multi-degree of freedom (DOF) robotic control. We developed and tested online ten able-bodied subjects in a semi-supervised method to achieve simultaneous, continuous control of two DOFs of a robotic arm, using muscle synergies extracted from upper limb muscles while performing flexion-extension movements of the elbow and shoulder joints in the horizontal plane. To validate the efficacy of the synergy-based approach in extracting reliable control signals, compared to the simple muscle-pair method typically used in commercial applications, we evaluated the repeatability of the algorithm over days, the effect of the arm dynamics on the control performance, and the robustness of the control scheme to the presence of co-contraction between pairs of antagonist muscles. Results showed that, without the need for a daily calibration, all subjects were able to intuitively and easily control the synergy-based myoelectric interface in different scenarios, using both dynamic and isometric muscle contractions. The proposed control scheme was shown to be robust to co-contraction between antagonist muscles, providing better performance compared to the traditional muscle-pair approach. The current study is a first step toward user-friendly application of synergy-based myocontrol of assistive robotic devices.

Mesh:

Year:  2015        PMID: 26441423     DOI: 10.1109/TNSRE.2015.2483375

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  12 in total

1.  Muscle synergies for predicting non-isometric complex hand function for commanding FES neuroprosthetic hand systems.

Authors:  Natalie M Cole; A Bolu Ajiboye
Journal:  J Neural Eng       Date:  2019-08-21       Impact factor: 5.379

2.  Children With and Without Dystonia Share Common Muscle Synergies While Performing Writing Tasks.

Authors:  Francesca Lunardini; Claudia Casellato; Matteo Bertucco; Terence D Sanger; Alessandra Pedrocchi
Journal:  Ann Biomed Eng       Date:  2017-05-30       Impact factor: 3.934

Review 3.  Robot-aided assessment of lower extremity functions: a review.

Authors:  Serena Maggioni; Alejandro Melendez-Calderon; Edwin van Asseldonk; Verena Klamroth-Marganska; Lars Lünenburger; Robert Riener; Herman van der Kooij
Journal:  J Neuroeng Rehabil       Date:  2016-08-02       Impact factor: 4.262

4.  Muscle Synergies-Based Characterization and Clustering of Poststroke Patients in Reaching Movements.

Authors:  Alessandro Scano; Andrea Chiavenna; Matteo Malosio; Lorenzo Molinari Tosatti; Franco Molteni
Journal:  Front Bioeng Biotechnol       Date:  2017-10-13

5.  Low-Dimensional Synergistic Representation of Bilateral Reaching Movements.

Authors:  Martin K Burns; Vrajeshri Patel; Ionut Florescu; Kishore V Pochiraju; Ramana Vinjamuri
Journal:  Front Bioeng Biotechnol       Date:  2017-02-10

Review 6.  Feasibility of Muscle Synergy Outcomes in Clinics, Robotics, and Sports: A Systematic Review.

Authors:  Juri Taborri; Valentina Agostini; Panagiotis K Artemiadis; Marco Ghislieri; Daniel A Jacobs; Jinsook Roh; Stefano Rossi
Journal:  Appl Bionics Biomech       Date:  2018-04-01       Impact factor: 1.781

7.  Comparison of Initialization Techniques for the Accurate Extraction of Muscle Synergies from Myoelectric Signals via Nonnegative Matrix Factorization.

Authors:  Mumtaz Hussain Soomro; Silvia Conforto; Gaetano Giunta; Simone Ranaldi; Cristiano De Marchis
Journal:  Appl Bionics Biomech       Date:  2018-05-08       Impact factor: 1.781

8.  Movement-Based Control for Upper-Limb Prosthetics: Is the Regression Technique the Key to a Robust and Accurate Control?

Authors:  Mathilde Legrand; Manelle Merad; Etienne de Montalivet; Agnès Roby-Brami; Nathanaël Jarrassé
Journal:  Front Neurorobot       Date:  2018-07-26       Impact factor: 2.650

9.  Synergistic Myoelectrical Activities of Forearm Muscles Improving Robust Recognition of Multi-Fingered Gestures.

Authors:  Xiuying Luo; Xiaoying Wu; Lin Chen; Yun Zhao; Li Zhang; Guanglin Li; Wensheng Hou
Journal:  Sensors (Basel)       Date:  2019-02-01       Impact factor: 3.576

10.  Forearm Motion Recognition With Noncontact Capacitive Sensing.

Authors:  Enhao Zheng; Jingeng Mai; Yuxiang Liu; Qining Wang
Journal:  Front Neurorobot       Date:  2018-07-27       Impact factor: 2.650

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