The DOI matches its Crossref record; 99 of the 101 references it cites were found in a registry or an index.
Neural Interfaces for Control of Upper Limb Prostheses: The State of the Art and Future Possibilities
Abstract
Current treatment of upper limb amputation restores some degree of functional ability, but this ability falls far below the standard set by the natural arm. Although acceptance rates can be high when patients are highly motivated and receive proper training and care, current prostheses often fail to meet the daily needs of amputees and frequently are abandoned. Recent advancements in science and technology have led to promising methods of accessing neural information for communication or control. Researchers have explored invasive and noninvasive methods of connecting with muscles, nerves, or the brain to provide increased functionality for patients experiencing disease or injury, including amputation. These techniques offer hope of more natural and intuitive prosthesis control, and therefore increased quality of life for amputees. In this review, we discuss the current state of the art of neural interfaces, particularly those that may find application within the prosthetics field.
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“However, these interfaces have a continuous risk of infection which has 'caused many to conclude that fully implantable, telemetered systems are necessary' for long term prosthetic applications (Schultz and Kuiken 2011).”
From Peripheral nerve bionic interface: a review of electrodes (2019) · cites this paper as Schultz and Kuiken 2011
In the citing paper
“Major strides have been made in the development of approaches to control these hands either by decoding motor intent from myoelectric signals (Fougner et al., 2012;Schultz and Kuiken, 2011) or from the activation of neurons in motor cortex (Bensmaia and Miller, 2014;Wodlinger et al., 2015).”
From Biomimetic approaches to bionic touch through a peripheral nerve interface (2015) · cites this paper as Schultz and Kuiken, 2011
Citations
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Cited by
Sorted by citations
Literature Review on Needs of Upper Limb Prosthesis Users
Cordella, F., Ciancio, A. L., Sacchetti, R., Davalli, A., Cutti, A. G., Guglielmelli, E., & Zollo, L. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00209 · Cited by 766
Neural Stimulation and Recording with Bidirectional, Soft Carbon Nanotube Fiber Microelectrodes
Vitale, F., Santacruz, S. R., Aazhang, B., Kemere, C. T., & Pasquali, M. (2015) · ACS Nano · doi:10.1021/acsnano.5b01060 · Cited by 313
A Review of Sensory Feedback in Upper-Limb Prostheses From the Perspective of Human Motor Control
Sensinger, J. W., & Dosen, S. S. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00345 · Cited by 253
Hybrid EEG–fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control
Khan, M. J., & Hong, K. (2017) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2017.00006 · Cited by 235
Ison, M. R., & Artemiadis, P. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/5/051001 · Cited by 227
Metadata
- Authors
- Schultz, A. E., & Kuiken, T. A.
- Affiliations
- Shirley Ryan AbilityLab (US)
- Northwestern University (US)
- Corresponding author
- Schultz, Aimee E.
- ORCID
- Kuiken, Todd A.
- Venue
- PM&R
- Publisher
- Wiley
- Published
- 2011-01
- Volume
- 3
- Issue
- 1
- Pages
- 55-67
- ISSN
- 1934-1482 (ISSN-L)
- 1934-1563
- OpenAlex
- W2014958857
- Cited by
- 186
- References
- 101
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 10 · 2023: 9 · 2022: 16 · 2021: 12 · 2020: 16 · 2019: 13 · 2018: 12 · 2017: 16 · 2016: 12 · 2015: 24 · 2014: 13 · 2013: 15 · 2012: 3
- FWCI
- 1.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- PM&R (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
- neural interfaces, upper limb prosthesis, amputation, prosthetic control, invasive neural recording, brain-computer interface, prosthesis abandonment
- MeSH terms
- Amputees, Artificial Limbs, Brain, Electrodes, Implanted, Electroencephalography, Humans, Membrane Potentials, Pattern Recognition, Automated, Upper Extremity, Neurofeedback
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