Motor-commands decoding using peripheral nerve signals: a review

Journal of Neural Engineering
Keum-Shik HongUsman Ghafoor

Abstract

During the last few decades, substantial scientific and technological efforts have been focused on the development of neuroprostheses. The major emphasis has been on techniques for connecting the human nervous system with a robotic prosthesis via natural-feeling interfaces. The peripheral nerves provide access to highly processed and segregated neural command signals from the brain that can in principle be used to determine user intent and control muscles. If these signals could be used, they might allow near-natural and intuitive control of prosthetic limbs with multiple degrees of freedom. This review summarizes the history of neuroprosthetic interfaces and their ability to record from and stimulate peripheral nerves. We also discuss the types of interfaces available and their applications, the kinds of peripheral nerve signals that are used, and the algorithms used to decode them. Finally, we explore the prospects for future development in this area.

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Citations

Sep 24, 2019·Frontiers in Aging Neuroscience·Usman GhafoorHo-Ryong Yoo
Nov 13, 2018·Frontiers in Neurorobotics·Keum-Shik Hong, Amad Zafar
Dec 18, 2018·Frontiers in Human Neuroscience·M Jawad KhanKeum-Shik Hong
Mar 7, 2020·Frontiers in Neurorobotics·Amad Zafar, Keum-Shik Hong
Nov 4, 2020·Journal of Neural Engineering·Giulia BaldazziDanilo Pani
Jan 5, 2021·Journal of Neural Engineering·Yaser Fathi, Abbas Erfanian
Sep 19, 2019·Journal of Neuroscience Methods·Benjamin ShaferSrikanth Vasudevan
Apr 9, 2021·Computers in Biology and Medicine·Mai GamalSherif M Elbasiouny
Aug 10, 2021·Frontiers in Neurorobotics·Alison M KarczewskiSamuel O Poore
Mar 25, 2020·Journal of Neural Engineering·Marina CracchioloSilvestro Micera

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