Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study

The use of brain-machine interfaces in combination with robotic exoskeletons is usually based on the analysis of the changes in power that some brain rhythms experience during a motion event. However, this variation in power is frequently obtained through frequency filtering and power estimation usi...

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Detalles Bibliográficos
Autores principales: Ortiz, Mario, Iáñez, Eduardo, Contreras-Vidal, José L., Azorín, José M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482655/
https://www.ncbi.nlm.nih.gov/pubmed/32973481
http://dx.doi.org/10.3389/fnbot.2020.00048
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author Ortiz, Mario
Iáñez, Eduardo
Contreras-Vidal, José L.
Azorín, José M.
author_facet Ortiz, Mario
Iáñez, Eduardo
Contreras-Vidal, José L.
Azorín, José M.
author_sort Ortiz, Mario
collection PubMed
description The use of brain-machine interfaces in combination with robotic exoskeletons is usually based on the analysis of the changes in power that some brain rhythms experience during a motion event. However, this variation in power is frequently obtained through frequency filtering and power estimation using the Fourier analysis. This paper explores the decomposition of the brain rhythms based on the Empirical Mode Decomposition, as an alternative for the analysis of electroencephalographic (EEG) signals, due to its adaptive capability to the local oscillations of the data, showcasing it as a viable tool for future BMI algorithms based on motor related events.
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spelling pubmed-74826552020-09-23 Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study Ortiz, Mario Iáñez, Eduardo Contreras-Vidal, José L. Azorín, José M. Front Neurorobot Neuroscience The use of brain-machine interfaces in combination with robotic exoskeletons is usually based on the analysis of the changes in power that some brain rhythms experience during a motion event. However, this variation in power is frequently obtained through frequency filtering and power estimation using the Fourier analysis. This paper explores the decomposition of the brain rhythms based on the Empirical Mode Decomposition, as an alternative for the analysis of electroencephalographic (EEG) signals, due to its adaptive capability to the local oscillations of the data, showcasing it as a viable tool for future BMI algorithms based on motor related events. Frontiers Media S.A. 2020-08-27 /pmc/articles/PMC7482655/ /pubmed/32973481 http://dx.doi.org/10.3389/fnbot.2020.00048 Text en Copyright © 2020 Ortiz, Iáñez, Contreras-Vidal and Azorín. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Ortiz, Mario
Iáñez, Eduardo
Contreras-Vidal, José L.
Azorín, José M.
Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study
title Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study
title_full Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study
title_fullStr Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study
title_full_unstemmed Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study
title_short Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study
title_sort analysis of the eeg rhythms based on the empirical mode decomposition during motor imagery when using a lower-limb exoskeleton. a case study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482655/
https://www.ncbi.nlm.nih.gov/pubmed/32973481
http://dx.doi.org/10.3389/fnbot.2020.00048
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