Cited by 186Neuroscience and Neural EngineeringMuscle activation and electromyography studiesEEG and Brain-Computer Interfaces

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Neural Interfaces for Control of Upper Limb Prostheses: The State of the Art and Future Possibilities

Schultz, Aimee E., Kuiken, Todd A.·2011·PM&R

DOI 10.1016/j.pmrj.2010.06.016

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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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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
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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
The role of muscle synergies in myoelectric control: trends and challenges for simultaneous multifunction control
Ison, M. R., & Artemiadis, P. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/5/051001 · Cited by 227

See all 186

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
DOI: 10.1016/j.pmrj.2010.06.016
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
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor, 20 d)
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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Neural Interfaces for Control of Upper Limb Prostheses: The State of the Art and Future Possibilities

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