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How capable is non-invasive EEG data of predicting the next movement? A mini review
In this study we summarize the features that characterize the pre-movements and pre-motor imageries (before imagining the movement) electroencephalography (EEG) data in humans from both Neuroscientists' and Engineers' point of view. We demonstrate what the brain status is before a voluntar...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3619112/ https://www.ncbi.nlm.nih.gov/pubmed/23579176 http://dx.doi.org/10.3389/fnhum.2013.00124 |
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author | Ahmadian, Pouya Cagnoni, Stefano Ascari, Luca |
author_facet | Ahmadian, Pouya Cagnoni, Stefano Ascari, Luca |
author_sort | Ahmadian, Pouya |
collection | PubMed |
description | In this study we summarize the features that characterize the pre-movements and pre-motor imageries (before imagining the movement) electroencephalography (EEG) data in humans from both Neuroscientists' and Engineers' point of view. We demonstrate what the brain status is before a voluntary movement and how it has been used in practical applications such as brain computer interfaces (BCIs). Usually, in BCI applications, the focus of study is on the after-movement or motor imagery potentials. However, this study shows that it is possible to develop BCIs based on the before-movement or motor imagery potentials such as the Bereitschaftspotential (BP). Using the pre-movement or pre-motor imagery potentials, we can correctly predict the onset of the upcoming movement, its direction and even the limb that is engaged in the performance. This information can help in designing a more efficient rehabilitation tool as well as BCIs with a shorter response time which appear more natural to the users. |
format | Online Article Text |
id | pubmed-3619112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-36191122013-04-11 How capable is non-invasive EEG data of predicting the next movement? A mini review Ahmadian, Pouya Cagnoni, Stefano Ascari, Luca Front Hum Neurosci Neuroscience In this study we summarize the features that characterize the pre-movements and pre-motor imageries (before imagining the movement) electroencephalography (EEG) data in humans from both Neuroscientists' and Engineers' point of view. We demonstrate what the brain status is before a voluntary movement and how it has been used in practical applications such as brain computer interfaces (BCIs). Usually, in BCI applications, the focus of study is on the after-movement or motor imagery potentials. However, this study shows that it is possible to develop BCIs based on the before-movement or motor imagery potentials such as the Bereitschaftspotential (BP). Using the pre-movement or pre-motor imagery potentials, we can correctly predict the onset of the upcoming movement, its direction and even the limb that is engaged in the performance. This information can help in designing a more efficient rehabilitation tool as well as BCIs with a shorter response time which appear more natural to the users. Frontiers Media S.A. 2013-04-08 /pmc/articles/PMC3619112/ /pubmed/23579176 http://dx.doi.org/10.3389/fnhum.2013.00124 Text en Copyright © 2013 Ahmadian, Cagnoni and Ascari. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. |
spellingShingle | Neuroscience Ahmadian, Pouya Cagnoni, Stefano Ascari, Luca How capable is non-invasive EEG data of predicting the next movement? A mini review |
title | How capable is non-invasive EEG data of predicting the next movement? A mini review |
title_full | How capable is non-invasive EEG data of predicting the next movement? A mini review |
title_fullStr | How capable is non-invasive EEG data of predicting the next movement? A mini review |
title_full_unstemmed | How capable is non-invasive EEG data of predicting the next movement? A mini review |
title_short | How capable is non-invasive EEG data of predicting the next movement? A mini review |
title_sort | how capable is non-invasive eeg data of predicting the next movement? a mini review |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3619112/ https://www.ncbi.nlm.nih.gov/pubmed/23579176 http://dx.doi.org/10.3389/fnhum.2013.00124 |
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