EMG-based Simultaneous and Proportional Estimation of Wrist Kinematics and its Application in Intuitive Myoelectric Control for Unilateral transradial Amputees
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1
Otto Bock HealthCare GmbH, Strategic Technology Management, Germany
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2
University Medical Center Göttingen, Department of Neurorehabilitation Engineering, Germany
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3
Aalborg University, Department of Health Science and Technology, Denmark
We propose a method for estimating wrist kinematics during dynamic wrist contractions from multi-channel surface electromyography (EMG). Surface EMG were recorded simultaneously with joint kinematics of the wrists during mirrored bilateral dynamic movements of the wrist/hand complex. The protocol was designed with the aim of proportional and simultaneous control of multiple degrees of freedom (DoF) of active prostheses by unilateral transradial amputees. Therefore, the proposed approach was tested in both amputees with such condition (N=3), and in intact-limbed control subjects (N=5). The algorithm extracted 4 time domain (TD) [1] features and 6 autoregressive features (AR) [2] from multi-channel surface EMG, recorded at the amputated side (amputee subjects) or non-dominant side (control subjects). The extracted features from all channels were used to train 6 dedicated multi-layer perceptron networks, each of which estimated the one joint angle of the 3 DoFs of the wrists of both sides. The results showed that, during the mirrored bilateral tasks, the joint angles at the 3 DoFs of amputees at the intact side can be accurately estimated from surface EMG recordings at the amputated side. The contra-lateral estimation accuracies for amputee subjects were 62.5±8.50% across all 3 DoFs, and the ipsi-lateral estimation accuracies of this subject group were 79.3±10.4%. In comparison, the contra-lateral and ipsi-lateral estimation accuracies of the intact-limbed control subjects were 72.0±8.29% and 73.6±8.59%, which is comparable with previous reports [3], [4]. Although there was a statistically significant difference between the contra-lateral estimation accuracies of the two subjects groups, the contra-lateral accuracies of the amputee subjects are remarkably high, since these subjects have not been able to use the remaining muscles at the amputated side for such complex motor tasks following the amputations. Interestingly, the ipsi-lateral accuracies of the amputee subjects were higher than that of the controls, presumably because the amputees use their remaining hand more often than the controls. The results of this study demonstrated the feasibility of the proposed myoelectric control approach to provide an intuitive myoelectric control strategy and specific training paradigm for unilateral transradial amputees, superior to the current state-of-the-art in myoelectric control methods based on pattern recognition.
REFERENCES:
Acknowledgements
This work is financially support by the German Ministry for Education and Research (BMBF) via the Bernstein Focus Neurotechnology (BFNT) Göttingen under Grant No. 01GQ0810, and European Commission via the Industrial Academia Partnerships and Pathways (IAPP) under Grand No. 251555 (AMYO).
References
[1] B. Hudgins, P. Parker, and R. N. Scott, “A new strategy for multifunction myoelectric control,” IEEE Transactions on Biomedical Engineering, vol. 40, no. 1, pp. 82-94, Jan. 1993.
[2] D. Graupe and W. K. Cline, “Functional Separation of EMG Signals via ARMA Identification Methods for Prosthesis Control Purposes,” IEEE Transactions on Systems, Man and Cybernetics, vol. 5, no. 2, pp. 252-259, Mar. 1975.
[3] J. L. G. Nielsen, S. Holmgaard, N. Jiang, K. B. Englehart, D. Farina, and P. A. Parker, “Simultaneous and proportional force estimation for multifunction myoelectric prostheses using mirrored bilateral training,” IEEE Transactions on Bio-Medical Engineering, vol. 58, no. 3, pp. 681-688, Mar. 2011.
[4] S. Muceli, N. Jiang, and D. Farina, “Multichannel surface EMG based estimation of bilateral hand kinematics during movements at multiple degrees of freedom,” Conference Proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, vol. 2010, pp. 6066-6069, 2010.
Keywords:
Electromyography,
neurotechnology,
Simultaneous and proportional control,
Upper Limb Prosthesis
Conference:
BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011, Freiburg, Germany, 4 Oct - 6 Oct, 2011.
Presentation Type:
Abstract
Topic:
neurotechnology and brain-machine interface (please use "neurotechnology and brain-machine interface" as keyword)
Citation:
JIANG
N,
Vest-Nielsen
J,
Muceli
S and
Farina
D
(2011). EMG-based Simultaneous and Proportional Estimation of Wrist Kinematics and its Application in Intuitive Myoelectric Control for Unilateral transradial Amputees.
Front. Comput. Neurosci.
Conference Abstract:
BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011.
doi: 10.3389/conf.fncom.2011.53.00081
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Received:
23 Aug 2011;
Published Online:
04 Oct 2011.
*
Correspondence:
Dr. NING JIANG, Otto Bock HealthCare GmbH, Strategic Technology Management, Duderstadt, 37115, Germany, ning.jiang@ieee.org