Intent Recognition in a Powered Lower Limb Prosthesis Using Time History Information
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s10439-013-0909-0.pdf
Reference29 articles.
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3. Ceseracciu, E., M. Reggiani, Z. Sawacha, M. Sartori, F. Spolaor, C. Cobelli, and E. Pagello, SVM Classification of Locomotion Modes Using Surface Electromyography for Applications in Rehabilitation Robotics, Presented at the RO-MAN, Viareggio, Italy, 2010.
4. Davies, B., and A. Datta. Mobility outcome following unilateral lower limb amputation. Prosthet. Orthot. Int. 27:186–190, 2003.
5. Farrell, M. T., and H. Herr. A method to determine the optimal features for control of a powered lower-limb prostheses. In: IEEE EMBC Annual International Conference, 2011, pp. 6041–6046.
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