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Cited by 573Neuroscience and Neural EngineeringMuscle activation and electromyography studiesEEG and Brain-Computer Interfaces

Direct neural sensory feedback and control of a prosthetic arm

Dhillon, G.S., Horch, K.W.·2005·IEEE Transactions on Neural Systems and Rehabilitation Engineering
DOI 10.1109/tnsre.2005.856072
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Abstract

Evidence indicates that user acceptance of modern artificial limbs by amputees would be significantly enhanced by a system that provides appropriate, graded, distally referred sensations of touch and joint movement, and that the functionality of limb prostheses would be improved by a more natural control mechanism. We have recently demonstrated that it is possible to implant electrodes within individual fascicles of peripheral nerve stumps in amputees, that stimulation through these electrodes can produce graded, discrete sensations of touch or movement referred to the amputee's phantom hand, and that recordings of motor neuron activity associated with attempted movements of the phantom limb through these electrodes can be used as graded control signals. We report here that this approach allows amputees to both judge and set grip force and joint position in an artificial arm, in the absence of visual input, thus providing a substrate for better integration of the artificial limb into the amputee's body image. We believe this to be the first demonstration of direct neural feedback from and direct neural control of an artificial arm in amputees.

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  • In amputees, the motor-sensory areas of the lost limb in the brain were activated when the subject grabbed an object with a prosthetic hand while looking at the action and feeling electrical stimulation.

    “A. Hernandez et al., in [3], explored the effect of electro-tactile feedback on amputees’ cerebral cortex using fMRI data, showing that the motor-sensory areas of the lost limb in a subject’s brain were activated when the subject grabbed an object with a prosthetic hand while looking at the action and feeling the electrical stimulation.”

    From Psycho-physiological assessment of a prosthetic hand sensory feedback system based on an auditory display: a preliminary study (2012) · cites this paper as [3]

  • USEA and LIFEs have been used successfully in short-term (less than a month) experiments in humans.

    “However, the USEA and LIFEs have been used successfully in short-term (less than a month) experiments in humans [7–9, 12, 14].”

    From Safety of long-term electrical peripheral nerve stimulation: review of the state of the art (2019) · cites this paper as [7]

  • Intensity has been manipulated by changing pulse amplitude, pulse width, or pulse frequency.

    “Intensity has been manipulated by changing pulse amplitude (Raspopovic et al., 2014), pulse width (Tan et al., 2014), or pulse frequency (Dhillon and Horch, 2005).”

    From Biomimetic approaches to bionic touch through a peripheral nerve interface (2015) · cites this paper as Dhillon and Horch, 2005

  • Stimulation of the nerve can also occasionally evoke proprioceptive sensations, for example sensations of movement of a finger or a joint or a specific hand configuration.

    “Stimulation of the nerve can also occasionally evoke proprioceptive sensations, for example sensations of movement of a finger or a joint or a specific hand configuration (Clark et al., 2014;Dhillon and Horch, 2005;Tan et al., 2015;2014), though the quality and gradedness of these sensations has not been systematically explored.”

    From Biomimetic approaches to bionic touch through a peripheral nerve interface (2015) · cites this paper as Dhillon and Horch, 2005

  • Within the stimulation intensity range, graded sensations of pressure are evoked and patients are generally able to distinguish a small number of distinct pressure levels reliably.

    “Within that range, graded sensations of pressure are evoked and patients are generally able to distinguish a small number of distinct pressure levels reliably (Dhillon and Horch, 2005;Raspopovic et al., 2014;Tan et al., 2014).”

    From Biomimetic approaches to bionic touch through a peripheral nerve interface (2015) · cites this paper as Dhillon and Horch, 2005

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Authors
Dhillon, G. S., & Horch, K. W.
Affiliations
  • Baylor College of Medicine (US)
  • University of Utah (US)
ORCID
Dhillon, G.S.
Venue
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2005-12
Volume
13
Issue
4
Pages
468-472
ISSN
  • 1534-4320 (ISSN-L)
  • 1558-0210
DOI
10.1109/tnsre.2005.856072
OpenAlex
W2103386113
Cited by
573
References
36
Citations by year
2026: 8 · 2025: 13 · 2024: 20 · 2023: 17 · 2022: 26 · 2021: 29 · 2020: 33 · 2019: 45 · 2018: 45 · 2017: 31 · 2016: 38 · 2015: 34 · 2014: 40 · 2013: 31 · 2012: 37
FWCI
5.54
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering (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
neuroprosthetics, prosthetic arm, peripheral nerve stimulation, sensory feedback, phantom limb, grip force control, joint position control, motor neuron activity, amputees, body image, visual deprivation
MeSH terms
Amputees, Arm, Artificial Limbs, Electric Stimulation, Electrodes, Implanted, Feedback, Humans, Male, Motor Neurons, Peripheral Nerves, Prosthesis Design, Sensory Receptor Cells, Treatment Outcome, Equipment Failure Analysis

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