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Design of Myocontrolled Neuroprosthesis: Tricks and Pitfalls

Design of Myocontrolled Neuroprosthesis: Tricks and Pitfalls
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Author(s): Emilia Ambrosini (Politecnico di Milano, Italy), Simona Ferrante (Politecnico di Milano, Italy)and Alessandro Pedrocchi (Politecnico di Milano, Italy)
Copyright: 2014
Pages: 29
Source title: Applications, Challenges, and Advancements in Electromyography Signal Processing
Source Author(s)/Editor(s): Ganesh R. Naik (University of Technology Sydney (UTS), Australia)
DOI: 10.4018/978-1-4666-6090-8.ch013

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Abstract

Recent studies suggest that the therapeutic effects of Functional Electrical Stimulation (FES) are maximized when the patterned electrical stimulation is delivered in close synchrony with the attempted voluntary movement. FES systems that modulate stimulation parameters based on the residual volitional muscle activity would assure this combination. However, the development of such a system might be not trivial, both from a hardware and a software point of view. This chapter provides an extensive overview of devices and filtering solutions proposed in the literature to estimate the residual volitional EMG signal in the presence of electrical stimulation. Different control strategies to modulate FES parameters as well as the results of the first studies involving neurological patients are also presented. This chapter provides some guidelines to help people who want to design innovative myocontrolled neuroprostheses and might favor the spread of these solutions in clinical environments.

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