1. Motor-commands decoding using peripheral nerve signals: a review.
- Author
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Hong KS, Aziz N, and Ghafoor U
- Subjects
- Animals, Artificial Limbs trends, Electromyography instrumentation, Electromyography trends, Humans, Prosthesis Design instrumentation, Prosthesis Design trends, Robotics instrumentation, Brain physiology, Electrodes, Implanted trends, Muscle, Skeletal innervation, Muscle, Skeletal physiology, Peripheral Nerves physiology, Robotics trends
- 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.
- Published
- 2018
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