Motor-commands decoding using peripheral nerve signals: a review
Open accessAbstract
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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Studies on different interface locations and probing devices have established the foundation of user-communication with prosthetics.
“Thus, the vast number of studies on different interface locations and various probing devices to record electrophysiological signals have established the foundation of user-communication with prosthetics.[24,286,287]”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [286]
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References 163 · Cited by 63
Research works printed but not linked: 6
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- Authors
- Hong, K.-S., Aziz, N., & Ghafoor, U.
- Affiliations
- Pusan National University (KR)
- Corresponding author
- Hong, Keum-Shik
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2018-04-16
- Volume
- 15
- Issue
- 3
- Pages
- 031004
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- OpenAlex
- W2791116204
- Semantic Scholar
- 51b5eb5453175eaf7c32b619cb24bf1bee79067e
- Cited by
- 63
- References
- 163
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 1 · 2023: 4 · 2022: 8 · 2021: 11 · 2020: 10 · 2019: 13 · 2018: 5
- FWCI
- 1.26
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- Funders
- National Research Foundation of Korea (NRF-2017R1A2A1A17069430)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- neural prostheses, peripheral nerve interfaces, prosthetic control, neurostimulation, neural recording, user intention
- MeSH terms
- Animals, Artificial Limbs, Brain, Electrodes, Implanted, Electromyography, Humans, Peripheral Nerves, Prosthesis Design, Robotics, Muscle, Skeletal
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