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Improving the Performance Against Force Variation of EMG Controlled Multifunctional Upper-Limb Prostheses for Transradial Amputees

Published on Jun 1, 2016in IEEE Transactions on Neural Systems and Rehabilitation Engineering3.48
· DOI :10.1109/TNSRE.2015.2445634
Ali H. Al-Timemy7
Estimated H-index: 7
(UOB: University of Baghdad),
Rami N. Khushaba17
Estimated H-index: 17
(UTS: University of Technology, Sydney)
+ 1 AuthorsJavier Escudero20
Estimated H-index: 20
(Edin.: University of Edinburgh)
Abstract
We investigate the problem of achieving robust control of hand prostheses by the electromyogram (EMG) of transradial amputees in the presence of variable force levels, as these variations can have a substantial impact on the robustness of the control of the prostheses. We also propose a novel set of features that aim at reducing the impact of force level variations on the prosthesis controlled by amputees. These features characterize the EMG activity by means of the orientation between a set of spectral moments descriptors extracted from the EMG signal and a nonlinearly mapped version of it. At the same time, our feature extraction method processes the EMG signals directly from the time-domain to reduce computational cost. The performance of the proposed features is tested on EMG data collected from nine transradial amputees performing six classes of movements each with three force levels. Our results indicate that the proposed features can achieve significant reductions in classification error rates in comparison to other well-known feature extraction methods, achieving improvements of \approx 6\hbox{\%} to 8% in the average classification performance across all subjects and force levels, when training with all forces.
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References43
Newest
#1Jiayuan He (SJTU: Shanghai Jiao Tong University)H-Index: 6
#2Dingguo Zhang (SJTU: Shanghai Jiao Tong University)H-Index: 17
Last.Xiangyang Zhu (SJTU: Shanghai Jiao Tong University)H-Index: 21
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#1Rami N. Khushaba (UTS: University of Technology, Sydney)H-Index: 17
#2Maen Takruri (American University of Ras Al Khaimah)H-Index: 9
Last.Sarath Kodagoda (UTS: University of Technology, Sydney)H-Index: 15
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#1Aidan D. Roche (Medical University of Vienna)H-Index: 9
#2Hubertus Rehbaum (GAU: University of Göttingen)H-Index: 8
Last.Oskar C. Aszmann (Medical University of Vienna)H-Index: 24
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Jul 1, 2013 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Khairul Anam (UTS: University of Technology, Sydney)H-Index: 5
#2Rami N. Khushaba (UTS: University of Technology, Sydney)H-Index: 17
Last.Adel Al-Jumaily (UTS: University of Technology, Sydney)H-Index: 15
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Jul 1, 2013 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Sebastian Amsüss (GAU: University of Göttingen)H-Index: 5
#2Liliana ParedesH-Index: 5
Last.Dario Farina (GAU: University of Göttingen)H-Index: 70
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Jul 1, 2013 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Ali H. Al-Timemy (PSU: Plymouth State University)H-Index: 7
#2Guido Bugmann (PSU: Plymouth State University)H-Index: 18
Last.Nicholas Outram (PSU: Plymouth State University)H-Index: 6
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Cited By40
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#1Oluwarotimi Williams Samuel (CAS: Chinese Academy of Sciences)H-Index: 8
#2Mojisola Grace Asogbon (CAS: Chinese Academy of Sciences)H-Index: 2
Last.Guanglin Li (CAS: Chinese Academy of Sciences)H-Index: 23
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#1Matteo Cognolato (University of Applied Sciences Western Switzerland)H-Index: 2
Last.Henning Müller (University of Applied Sciences Western Switzerland)H-Index: 42
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