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Far-field electric potentials provide access to the output from the spinal cord from wrist-mounted sensors

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Mendez_Guerra_2022_J._Neural_Eng._19_026031.pdfPublished version2.36 MBAdobe PDFView/Open
Title: Far-field electric potentials provide access to the output from the spinal cord from wrist-mounted sensors
Authors: Mendez Guerra, I
Barsakcioglu, DY
Vujaklija, I
Wetmore, DZ
Farina, D
Item Type: Journal Article
Abstract: OBJECTIVE: Neural interfaces need to become more unobtrusive and socially acceptable to appeal to general consumers outside rehabilitation settings. APPROACH: We developed a non-invasive neural interface that provides access to spinal motor neuron activities from the wrist, which is the preferred location for a wearable. The interface decodes far-field potentials present at the tendon endings of the forearm muscles using blind source separation. First, we evaluated the reliability of the interface to detect motor neuron firings based on far-field potentials, and thereafter we used the decoded motor neuron activity for the prediction of finger contractions in offline and real-time conditions. MAIN RESULTS: The results showed that motor neuron activity decoded from the far-field potentials at the wrist accurately predicted individual and combined finger commands and therefore allowed for highly accurate real-time task classification. SIGNIFICANCE: These findings demonstrate the feasibility of a non-invasive, neural interface at the wrist for precise real-time control based on the output of the spinal cord.
Issue Date: 5-Apr-2022
Date of Acceptance: 18-Mar-2022
URI: http://hdl.handle.net/10044/1/96001
DOI: 10.1088/1741-2552/ac5f1a
ISSN: 1741-2552
Publisher: IOP Publishing
Journal / Book Title: Journal of Neural Engineering
Volume: 19
Issue: 2
Copyright Statement: © 2022 The Author(s). Published by IOP Publishing Ltd. As the Version of Record of this article is going to be/has been published on a gold open access basis under a CC BY 3.0 licence, this Accepted Manuscript is available for reuse under a CC BY 3.0 licence immediately.
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 810346
Keywords: Science & Technology
Technology
Life Sciences & Biomedicine
Engineering, Biomedical
Neurosciences
Engineering
Neurosciences & Neurology
neural interface
wrist
far-field potentials
real-time decomposition
motor neurons
BRAIN-MACHINE INTERFACES
MOTOR UNITS
SURFACE
IDENTIFICATION
MUSCLES
SIGNALS
HAND
far-field potentials
motor neurons
neural interface
real-time decomposition
wrist
Electromyography
Motor Neurons
Reproducibility of Results
Spinal Cord
Wrist
Wrist
Spinal Cord
Motor Neurons
Electromyography
Reproducibility of Results
far-field potentials
motor neurons
neural interface
real-time decomposition
wrist
Biomedical Engineering
0903 Biomedical Engineering
1103 Clinical Sciences
1109 Neurosciences
Publication Status: Published
Conference Place: England
Open Access location: https://iopscience.iop.org/article/10.1088/1741-2552/ac5f1a/pdf
Article Number: ARTN 026031
Online Publication Date: 2022-03-18
Appears in Collections:Bioengineering
Faculty of Engineering



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