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Cited by 287

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Robot-assisted rehabilitation of hand function

Balasubramanian, Sivakumar, Klein, Julius, Burdet, Etienne·2010·Current Opinion in Neurology

Abstract

PURPOSE OF REVIEW: Initial work on robot-assisted neurorehabilitation for the upper extremity aimed primarily at training, reaching movements with the proximal sections of the upper extremity. However, recent years have seen a surge in devices dedicated to hand function. This review describes the state of the art and the promises of this novel therapeutic approach. RECENT FINDINGS: Numerous robotic devices for hand function with various levels of complexity and functionality have been developed over the last 10 years. These devices range from simple mechanisms that support single joint movements to mechanisms with as many as 18 degrees-of-freedom (DOF) that can support multijoint movements at the wrist and fingers. The results from clinical studies carried out with eight out of 30 reported devices indicate that robot-assisted hand rehabilitation reduces motor impairments of the affected hand and the arm, and improves the functional use of the affected hand. SUMMARY: The current evidence in support of the robot-assisted hand rehabilitation is preliminary but very promising, and provides a strong rationale for more systematic investigations in the future.

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Metadata

Authors
Balasubramanian, S., Klein, J., & Burdet, E.
Venue
Current Opinion in Neurology
Published
2010-12
Volume
23
Issue
6
Pages
661-670
ISSN
1350-7540 (ISSN-L)
OpenAlex
W2094821430
Cited by
287
References
28
FWCI
14.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Robot-assisted rehabilitation of hand function. https://app.cochat.ai/papers/10.1097/wco.0b013e32833e99a4
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Balasubramanian, S., Klein, J., & Burdet, E. (2010). Robot-assisted rehabilitation of hand function. Current Opinion in Neurology. https://doi.org/10.1097/wco.0b013e32833e99a4

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

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