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Sensors for Motor Neuroprosthetics: Current Applications and Future Directions

Sensors for Motor Neuroprosthetics: Current Applications and Future Directions
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Author(s): Emilia Ambrosini (Politecnico di Milano, Italy & Salvatore Maugeri Foundation, Scientific Institute of Lissone, Italy), Noelia Chia Bejarano (Politecnico di Milano, Italy) and Alessandra Pedrocchi (Politecnico di Milano, Italy)
Copyright: 2014
Pages: 27
Source title: Emerging Theory and Practice in Neuroprosthetics
Source Author(s)/Editor(s): Ganesh R. Naik (University of Technology Sydney (UTS), Australia) and Yina Guo (Taiyuan University of Science and Technology, China)
DOI: 10.4018/978-1-4666-6094-6.ch003


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Clinical applications of Functional Electrical Stimulation (FES) provide both functional and therapeutic benefits. To enhance the functionality of FES systems and to improve the control of the activated muscles through open-loop or feedback controllers, solutions to gather information about the status of the system in real time and to easily detect the intention of the subject have to be optimized. This chapter summarizes the state of art of sensors used in motor neuroprostheses. These sensors can be classified in two categories: sensors of biological signals, such as electromyogram, electroencephalogram, electroneurogram, eye tracking, and voice control, and sensors of non-biological signals, such as sensors of force/pressure (e.g. force sensitive resistors and strain gauges) and sensors of movement (e.g. accelerometers, electrogoniometers, inertial measurement units, and motion capture systems). Definitions, advantages and disadvantages, and some example of applications are reported for each sensor. Finally, guidelines to compare sensors for the design of motor neuroprostheses are drawn.

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