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Cited by 257

The DOI matches its Crossref record; 168 of the 168 references it cites were found in a registry or an index.

Restoration of sensory information via bionic hands

Open access
Bensmaia, Sliman J., Tyler, Dustin J., Micera, Silvestro·2020·Nature Biomedical Engineering

Abstract

This Review discusses non-invasive and invasive technologies for conveying artificial sensory feedback through bionic hands. Individuals who have lost the use of their hands because of amputation or spinal cord injury can use prosthetic hands to restore their independence. A dexterous prosthesis requires the acquisition of control signals that drive the movements of the robotic hand, and the transmission of sensory signals to convey information to the user about the consequences of these movements. In this Review, we describe non-invasive and invasive technologies for conveying artificial sensory feedback through bionic hands, and evaluate the technologies’ long-term prospects.

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Crossref · 10.1038/s41551-020-00630-8

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Metadata

Authors
Bensmaia, S. J., Tyler, D. J., & Micera, S.
Venue
Nature Biomedical Engineering
Published
2020-11-23
Volume
7
Issue
4
Pages
443-455
ISSN
2157-846X (ISSN-L)
OpenAlex
W3108506906
Cited by
257
References
168
FWCI
8.48
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Restoration of sensory information via bionic hands. https://app.cochat.ai/papers/10.1038/s41551-020-00630-8
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Bensmaia, S. J., Tyler, D. J., & Micera, S. (2020). Restoration of sensory information via bionic hands. Nature Biomedical Engineering. https://doi.org/10.1038/s41551-020-00630-8

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.