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IEEE Transactions on Neural Systems and Rehabilitation Engineering
Article . 2018 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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License: CC BY
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A Wearable Multi-Site System for NMES-Based Hand Function Restoration

Authors: Crema, Andrea; Malešević, Nebojša; Furfaro, Ivan; Raschellà, Flavio; Pedrocchi, Alessandra; Micera, Silvestro;

A Wearable Multi-Site System for NMES-Based Hand Function Restoration

Abstract

Reaching and grasping impairments significantly affect the quality of life for people who have experienced a stroke or spinal cord injury. The long-term well-being of patients varies greatly according to the restorable residual capabilities. Electrical stimulation could be a promising solution to restore motor functions in these conditions, but its use is not clinically widespread. Here, we introduce the HandNMES, an electrode array (EA) for neuromuscular electrical stimulation (NMES) aimed at grasp training and assistance. The device was designed to deliver electrical stimulation to extrinsic and intrinsic hand muscles. Six independent EAs, positioned on the user forearm and hand, deliver NMES pulses originating from an external stimulator equipped with demultiplexers for interfacing with a large number of electrodes. The garment was designed to be adaptable to user needs and anthropometric characteristics; size, shape, and contact materials can be customized, and stimulation characteristics such as intensity of stimulation and virtual electrode location, and size can be adjusted. We performed extensive tests with nine healthy subjects showing the efficacy of the HandNMES in terms of stimulation performance and personalization. Because encouraging results were achieved, in the coming months, the HandNMES device will be tested in pilot clinical trials.

Country
Italy
Keywords

Adult, Male, Hand Strength, Stroke Rehabilitation, Prostheses and Implants, Recovery of Function, Hand, Electric Stimulation, Healthy Volunteers, Forearm, Wearable Electronic Devices, Young Adult, Electrodes, Muscles, Skin, Clothing, Grasping, Electrical stimulation, Fabrics, Humans, Female, Electrodes, Algorithms, electrode array; grasp; hand; NMES; Neuroscience (all); Biomedical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition

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    selected citations
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    47
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
47
Top 10%
Top 10%
Top 10%
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gold