Chapter 2 Bidirectional Interfaces with the Peripheral Nervous System
Abstract
Considerable scientific and technological efforts have been devoted to develop neuroprostheses and hybrid bionic systems that link the human nervous system with electronic or robotic prostheses, with the main aim of restoring motor and sensory functions in disabled patients. Such developments have also the potential to be applied to normal human beings to improve their physical capabilities for bidirectional control and feedback of machines. A number of neuroprostheses use interfaces with peripheral nerves or muscles for neuromuscular stimulation and signal recording. This chapter provides a general overview of the peripheral neural interfaces available and their use from research to clinical application in controlling artificial and robotic prostheses and in developing neuroprostheses. Extraneural electrodes, such as cuff and epineurial electrodes, provide simultaneous interface with many axons in the nerve, whereas intrafascicular, penetrating, and regenerative electrodes may selectively contact small groups of axons within a nerve fascicle. Biological and technical issues are reviewed relative to the problems of electrode design and tissue injury. The last sections review different strategies for the use of peripheral neural interfaces in biomedical applications.
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There is a trade-off between the selectivity and the invasiveness of peripheral nerve electrodes.
“There is a tradeoff between selectivity, the ability to address single nerve fibers, and invasiveness.”
From Comparative analysis of transverse intrafascicular multichannel, longitudinal intrafascicular and multipolar cuff electrodes for the selective stimulation of nerve fascicles (2011) · cites this paper as Micera and Navarro 2009
Through synthetic activation of peripheral nerve pathways, perception of sensation can be achieved.
“Thus, through a synthetic activation of these pathways, perception of sensation can be achieved (Micera and Navarro, 2009).”
From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Micera and Navarro, 2009
Increasing growth rate of regeneration of individual or groups of fibers through holes in RPNI can activate selective stimulation and make it possible to record action potentials from individual axons or a small group.
“The increase in growth rate of regeneration of individual or a group of fibers through those holes can activate selective stimulation and make it possible to record action potentials (Micera and Navarro, 2009; Sando et al., 2016) from individual axons or a small group.”
From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Micera and Navarro, 2009
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- Authors
- Micera, S., & Navarro, X.
- Affiliations
- Scuola Superiore Sant'Anna (IT)
- Universitat Autònoma de Barcelona (ES)
- Venue
- International Review of Neurobiology
- Publisher
- Elsevier
- Published
- 2009
- Volume
- 86
- Pages
- 23-38
- ISSN
- 0074-7742 (ISSN-L)
- OpenAlex
- W1548327389
- Cited by
- 69
- References
- 69
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 2 · 2023: 2 · 2022: 2 · 2021: 6 · 2020: 8 · 2019: 6 · 2018: 4 · 2017: 9 · 2016: 2 · 2015: 4 · 2014: 5 · 2013: 5 · 2012: 1
- FWCI
- 2.79
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- International review of neurobiology (publishedVersion)
- PubMed (publishedVersion)
- 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
- peripheral nerve interfaces, neural prostheses, neuromuscular stimulation, neural recording, cuff electrodes, intrafascicular electrodes, electrode design, tissue damage, robotic prostheses, bidirectional control, sensory feedback
- MeSH terms
- Animals, Bionics, Electric Stimulation, Electrodes, Implanted, Humans, Man-Machine Systems, Nerve Regeneration, Signal Processing, Computer-Assisted, User-Computer Interface, Peripheral Nervous System
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