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Motor-commands decoding using peripheral nerve signals: a review.
- Source :
-
Journal of neural engineering [J Neural Eng] 2018 Jun; Vol. 15 (3), pp. 031004. Date of Electronic Publication: 2018 Mar 02. - Publication Year :
- 2018
-
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.
- 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
Subjects
Details
- Language :
- English
- ISSN :
- 1741-2552
- Volume :
- 15
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Journal of neural engineering
- Publication Type :
- Academic Journal
- Accession number :
- 29498358
- Full Text :
- https://doi.org/10.1088/1741-2552/aab383