Optimal tracking of a sEMG based force model for a prosthetic hand

Abstract

This paper presents a surface electromyographic (sEMG)-based, optimal control strategy for a prosthetic hand. System Identification (SI) is used to obtain the dynamic relation between the sEMG and the corresponding skeletal muscle force. The input sEMG signal is preprocessed using a Half-Gaussian filter and fed to a fusion-based Multiple Input Single Output… (More)
DOI: 10.1109/IEMBS.2011.6090464

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Cite this paper

@article{Potluri2011OptimalTO, title={Optimal tracking of a sEMG based force model for a prosthetic hand}, author={Chandrasekhar Potluri and Madhavi Anugolu and Yimesker Yihun and Alex Jensen and Steve Chiu and Marco P. Schoen and D. Subbaram Naidu}, journal={2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society}, year={2011}, pages={1604-1607} }