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Human motor decoding from neural signals: a review

Many people suffer from movement disability due to amputation or neurological diseases. Fortunately, with modern neurotechnology now it is possible to intercept motor control signals at various points along the neural transduction pathway and use that to drive external devices for communication or c...

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Detalles Bibliográficos
Autores principales: Tam, Wing-kin, Wu, Tong, Zhao, Qi, Keefer, Edward, Yang, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7422484/
https://www.ncbi.nlm.nih.gov/pubmed/32903354
http://dx.doi.org/10.1186/s42490-019-0022-z
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author Tam, Wing-kin
Wu, Tong
Zhao, Qi
Keefer, Edward
Yang, Zhi
author_facet Tam, Wing-kin
Wu, Tong
Zhao, Qi
Keefer, Edward
Yang, Zhi
author_sort Tam, Wing-kin
collection PubMed
description Many people suffer from movement disability due to amputation or neurological diseases. Fortunately, with modern neurotechnology now it is possible to intercept motor control signals at various points along the neural transduction pathway and use that to drive external devices for communication or control. Here we will review the latest developments in human motor decoding. We reviewed the various strategies to decode motor intention from human and their respective advantages and challenges. Neural control signals can be intercepted at various points in the neural signal transduction pathway, including the brain (electroencephalography, electrocorticography, intracortical recordings), the nerves (peripheral nerve recordings) and the muscles (electromyography). We systematically discussed the sites of signal acquisition, available neural features, signal processing techniques and decoding algorithms in each of these potential interception points. Examples of applications and the current state-of-the-art performance were also reviewed. Although great strides have been made in human motor decoding, we are still far away from achieving naturalistic and dexterous control like our native limbs. Concerted efforts from material scientists, electrical engineers, and healthcare professionals are needed to further advance the field and make the technology widely available in clinical use.
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spelling pubmed-74224842020-09-04 Human motor decoding from neural signals: a review Tam, Wing-kin Wu, Tong Zhao, Qi Keefer, Edward Yang, Zhi BMC Biomed Eng Review Many people suffer from movement disability due to amputation or neurological diseases. Fortunately, with modern neurotechnology now it is possible to intercept motor control signals at various points along the neural transduction pathway and use that to drive external devices for communication or control. Here we will review the latest developments in human motor decoding. We reviewed the various strategies to decode motor intention from human and their respective advantages and challenges. Neural control signals can be intercepted at various points in the neural signal transduction pathway, including the brain (electroencephalography, electrocorticography, intracortical recordings), the nerves (peripheral nerve recordings) and the muscles (electromyography). We systematically discussed the sites of signal acquisition, available neural features, signal processing techniques and decoding algorithms in each of these potential interception points. Examples of applications and the current state-of-the-art performance were also reviewed. Although great strides have been made in human motor decoding, we are still far away from achieving naturalistic and dexterous control like our native limbs. Concerted efforts from material scientists, electrical engineers, and healthcare professionals are needed to further advance the field and make the technology widely available in clinical use. BioMed Central 2019-09-03 /pmc/articles/PMC7422484/ /pubmed/32903354 http://dx.doi.org/10.1186/s42490-019-0022-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Tam, Wing-kin
Wu, Tong
Zhao, Qi
Keefer, Edward
Yang, Zhi
Human motor decoding from neural signals: a review
title Human motor decoding from neural signals: a review
title_full Human motor decoding from neural signals: a review
title_fullStr Human motor decoding from neural signals: a review
title_full_unstemmed Human motor decoding from neural signals: a review
title_short Human motor decoding from neural signals: a review
title_sort human motor decoding from neural signals: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7422484/
https://www.ncbi.nlm.nih.gov/pubmed/32903354
http://dx.doi.org/10.1186/s42490-019-0022-z
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