Direct neural sensory feedback and control of a prosthetic arm

By G. Dhillon, K. Horch. IEEE transactions on neural systems and rehabilitation engineering, 2005

605 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/163e60b7c5e138eccf665a5208e42e43cde01620

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In Biomedical Engineering

In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Literature Review on Needs of Upper Limb Prosthesis Users (2016, background): “Promising preliminary results have been obtained (i.e., the prosthesis control is more robust to limb position and environmental conditions with respect to the use of superficial electrodes), but IMES cannot be employed when the sensing sites are very close each other, or else if the target muscle…”
The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges (2014, background): “specialized literature on neural interfacing [88], [89].”
Optoelectronically innervated soft prosthetic hand via stretchable optical waveguides (2016, background): “Fortunately, many kinds of brain-computer interfaces are being developed to realize the direct communication between human brain and external devices (3–5), and the effectiveness of using feedback sensation to enhance the functionality of prosthetic hands has been demonstrated by other researchers t”
The Science of Neural Interface Systems (2009, positive): “It is welldocumented that somatosensory feedback in the form of tactile and proprioceptive sensation is critical for normal motor control (Ghez et al. 1990).”
Restoring motor control and sensory feedback in people with upper extremity amputations using arrays of 96 microelectrodes implanted in the median and ulnar nerves (2016, methodology): “Next generation prosthetic arms are being developed with upwards of 26 DOF [47, 48] and with embedded sensors intended to be used to provide sensory feedback to the user [37, 44, 49].”
A Review of Intent Detection, Arbitration, and Communication Aspects of Shared Control for Physical Human-Robot Interaction (2018, methodology): “, peripheral nerve stimulation [111,112]) to noninvasive sensory substitution methods (e.”
Myoelectric forearm prostheses: state of the art from a user-centered perspective. (2011, background): “The most natural way to directly close the loop between sensing and feedback would be the direct stimulation of the afferent nerves, which is being investigated in several studies [61–63].”
Upper limb prosthesis use and abandonment: A survey of the last 25 years (2007, background): “…Kyberd et al. 2001; Yang et al. 2004; Light et al. 2000; Dechev et al. 2001), and to endow prostheses with greater sensory feedback (Carpaneto et al. 2003; Cranny et al. 2005; Riso 1999; Zecca et al. 2004, Dhillon and Horch 2005), are avenues by which vast improvements are expected in the future.”
An osseointegrated human-machine gateway for long-term sensory feedback and motor control of artificial limbs (2014, background): “However, acute studies using intrafascicular electrodes have suggested that motor nerve fibers remain viable in long-term amputees despite cortical reorganization and axotomy-induced degeneration (3, 22).”