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A Multi-Class Proportional Myocontrol Algorithm for Upper Limb Prosthesis Control: Validation in Real-Life Scenarios on Amputees

Published on Sep 1, 2015in IEEE Transactions on Neural Systems and Rehabilitation Engineering3.48
· DOI :10.1109/TNSRE.2014.2361478
Sebastian Amsuess7
Estimated H-index: 7
(GAU: University of Göttingen),
Peter M. Goebel4
Estimated H-index: 4
+ 1 AuthorsDario Farina70
Estimated H-index: 70
(GAU: University of Göttingen)
Abstract
Functional replacement of upper limbs by means of dexterous prosthetic devices remains a technological challenge. While the mechanical design of prosthetic hands has advanced rapidly, the human-machine interfacing and the control strategies needed for the activation of multiple degrees of freedom are not reliable enough for restoring hand function successfully. Machine learning methods capable of inferring the user intent from EMG signals generated by the activation of the remnant muscles are regarded as a promising solution to this problem. However, the lack of robustness of the current methods impedes their routine clinical application. In this study, we propose a novel algorithm for controlling multiple degrees of freedom sequentially, inherently proportionally and with high robustness, allowing a good level of prosthetic hand function. The control algorithm is based on the spatial linear combinations of amplitude-related EMG signal features. The weighting coefficients in this combination are derived from the optimization criterion of the common spatial patterns filters which allow for maximal discriminability between movements. An important component of the study is the validation of the method which was performed on both able-bodied and amputee subjects who used physical prostheses with customized sockets and performed three standardized functional tests mimicking daily-life activities of varying difficulty. Moreover, the new method was compared in the same conditions with one clinical/industrial and one academic state-of-the-art method. The novel algorithm outperformed significantly the state-of-the-art techniques in both subject groups for tests that required the activation of more than one degree of freedom. Because of the evaluation in real time control on both able-bodied subjects and final users (amputees) wearing physical prostheses, the results obtained allow for the direct extrapolation of the benefits of the proposed method for the end users. In conclusion, the method proposed and validated in real-life use scenarios, allows the practical usability of multifunctional hand prostheses in an intuitive way, with significant advantages with respect to previous systems.
  • References (28)
  • Citations (26)
References28
Newest
#1Erik Scheme (UNB: University of New Brunswick)H-Index: 16
#2Blair A. Lock (Rehabilitation Institute of Chicago)H-Index: 18
Last.Kevin Englehart (UNB: University of New Brunswick)H-Index: 36
view all 6 authors...
#1Max Jair Ortiz-Catalan (Chalmers University of Technology)H-Index: 9
#2Rickard Brånemark (Sahlgrenska University Hospital)H-Index: 33
Last.Bo Håkansson (Chalmers University of Technology)H-Index: 28
view all 3 authors...
#1Erik Scheme (UNB: University of New Brunswick)H-Index: 16
#2Bernard Hudgins (UNB: University of New Brunswick)H-Index: 17
Last.Kevin Englehart (UNB: University of New Brunswick)H-Index: 36
view all 3 authors...
#1Ning Jiang (GAU: University of Göttingen)H-Index: 27
#2Silvia Muceli (GAU: University of Göttingen)H-Index: 18
Last.Dario Farina (GAU: University of Göttingen)H-Index: 70
view all 4 authors...
Cited By26
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#1Shriniwas Patwardhan (UCSB: University of California, Santa Barbara)
#2Ananya S. Dhawan (GMU: George Mason University)
Last.Siddhartha Sikdar (GMU: George Mason University)H-Index: 16
view all 0 authors...
#1Carles Igual (Polytechnic University of Valencia)
#2Jorge Igual (Polytechnic University of Valencia)H-Index: 9
Last.Lucas C. Parra (CCNY: City College of New York)H-Index: 46
view all 4 authors...
#1Marko Markovic (GAU: University of Göttingen)H-Index: 10
#2Meike A. Schweisfurth (Hamburg University of Applied Sciences)H-Index: 5
Last.Strahinja Dosen (GAU: University of Göttingen)H-Index: 17
view all 7 authors...
#1Ananya S. Dhawan (GMU: George Mason University)
#2Biswarup Mukherjee (GMU: George Mason University)H-Index: 3
Last.Siddhartha Sikdar (GMU: George Mason University)H-Index: 16
view all 0 authors...
#1Valentina Gregori (Sapienza University of Rome)H-Index: 2
#2Barbara Caputo (Sapienza University of Rome)H-Index: 29
Last.Arjan Gijsberts (IIT: Istituto Italiano di Tecnologia)H-Index: 10
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