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Sensory feedback by peripheral nerve stimulation improves task performance in individuals with upper limb loss using a myoelectric prosthesis
Open accessAbstract
OBJECTIVE: Tactile feedback is critical to grip and object manipulation. Its absence results in reliance on visual and auditory cues. Our objective was to assess the effect of sensory feedback on task performance in individuals with limb loss. APPROACH: Stimulation of the peripheral nerves using implanted cuff electrodes provided two subjects with sensory feedback with intensity proportional to forces on the thumb, index, and middle fingers of their prosthetic hand during object manipulation. Both subjects perceived the sensation on their phantom hand at locations corresponding to the locations of the forces on the prosthetic hand. A bend sensor measured prosthetic hand span. Hand span modulated the intensity of sensory feedback perceived on the thenar eminence for subject 1 and the middle finger for subject 2. We performed three functional tests with the blindfolded subjects. First, the subject tried to determine whether or not a wooden block had been placed in his prosthetic hand. Second, the subject had to locate and remove magnetic blocks from a metal table. Third, the subject performed the Southampton Hand Assessment Procedure (SHAP). We also measured the subject's sense of embodiment with a survey and his self-confidence. MAIN RESULTS: Blindfolded performance with sensory feedback was similar to sighted performance in the wooden block and magnetic block tasks. Performance on the SHAP, a measure of hand mechanical function and control, was similar with and without sensory feedback. An embodiment survey showed an improved sense of integration of the prosthesis in self body image with sensory feedback. SIGNIFICANCE: Sensory feedback by peripheral nerve stimulation improved object discrimination and manipulation, embodiment, and confidence. With both forms of feedback, the blindfolded subjects tended toward results obtained with visual feedback.
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“Electrical stimulation in the form of spikes has been given to the residual stump nerve of a patient through typically implanted electrodes, and psychophysical judgments and verbal reports were gathered (Polasek et al., 2009; Schiefer et al., 2016).”
From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Schiefer et al., 2016
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“Repeated clinical demonstration with replicated results has been achieved for peripheral interfaces (Schiefer et al., 2016).”
From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Schiefer et al., 2016
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Cites
Design and Analysis of Experiments
Sullivan, G. R. (1998) · Journal of Quality Technology · doi:10.1080/00224065.1998.11979826 · Cited by 1,886
Synaesthesia in phantom limbs induced with mirrors
(1996) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.1996.0058 · Cited by 1,246
Restoring natural sensory feedback in real-time bidirectional hand prostheses
Raspopovic, S., Capogrosso, M., Petrini, F. M., Bonizzato, M., Rigosa, J., Di Pino, G., Carpaneto, J., Controzzi, M., Boretius, T., Fernandez, E., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3006820 · Cited by 1,001
A neural interface provides long-term stable natural touch perception
Tan, D. W., Schiefer, M. A., Keith, M. W., Anderson, J. R., Tyler, J., & Tyler, D. J. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3008669 · Cited by 751
Self-citationDirect 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 · Cited by 573
Consumer design priorities for upper limb prosthetics
Biddiss, E., Beaton, D., & Chau, T. (2007) · Disability and Rehabilitation: Assistive Technology · doi:10.1080/17483100701714733 · Cited by 519
Epidemiologic Overview of Individuals with Upper-Limb Loss and Their Reported Research Priorities
Atkins, D. J., Heard, D. C. Y., & Donovan, W. H. (1996) · JPO Journal of Prosthetics and Orthotics · doi:10.1097/00008526-199600810-00003 · Cited by 517
Embodiment, ownership and disownership
de Vignemont, F. (2010) · Consciousness and Cognition · doi:10.1016/j.concog.2010.09.004 · Cited by 509
Ochoa, J., & Torebjörk, E. (1983) · The Journal of Physiology · doi:10.1113/jphysiol.1983.sp014873 · Cited by 467
Light, C. M., Chappell, P. H., & Kyberd, P. J. (2002) · Archives of Physical Medicine and Rehabilitation · doi:10.1053/apmr.2002.32737 · Cited by 417
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D’Anna, E., Valle, G., Mazzoni, A., Strauss, I., Iberite, F., Patton, J., Petrini, F. M., Raspopovic, S., Granata, G., Di Iorio, R., et al. (2019) · Science Robotics · doi:10.1126/scirobotics.aau8892 · Cited by 321
Metadata
- Authors
- Schiefer, M., Tan, D., Sidek, S. M., & Tyler, D. J.
- Affiliations
- Louis Stokes Cleveland VA Medical Center (US)
- Corresponding author
- Tyler, Dustin J
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2015-12-08
- Volume
- 13
- Issue
- 1
- Pages
- 016001
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- PMC
- PMC5517302
- OpenAlex
- W2286606309
- Cited by
- 255
- References
- 50
- Citations by year
- 2026: 9 · 2025: 18 · 2024: 19 · 2023: 26 · 2022: 31 · 2021: 37 · 2020: 33 · 2019: 40 · 2018: 23 · 2017: 16 · 2016: 3
- FWCI
- 6.53
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Veterans Affairs (A6156R)
- Defense Advanced Research Projects Agency (DARPA) RENET (N66001-12-C-4173)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Keywords
- sensory feedback, peripheral nerve stimulation, myoelectric prosthesis, upper limb loss, tactile feedback, phantom hand, hand span, embodiment, self-confidence, object manipulation, Southampton Hand Assessment Procedure
- MeSH terms
- Amputation, Surgical, Artificial Limbs, Electric Stimulation, Hand, Humans, Prosthesis Design, Task Performance and Analysis, Touch, Hand Strength, Equipment Failure Analysis, Feedback, Sensory
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