Reconstruction of reaching movement trajectories using electrocorticographic signals in humans.
In this study, we used electrocorticographic (ECoG) signals to extract the onset of arm movement as well as the velocity of the hand as a function of time. ECoG recordings were obtained from three individuals while they performed reaching tasks in the left, right and forward directions. The ECoG ele...
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2017-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5606933?pdf=render |
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author | Omid Talakoub Cesar Marquez-Chin Milos R Popovic Jessie Navarro Erich T Fonoff Clement Hamani Willy Wong |
author_facet | Omid Talakoub Cesar Marquez-Chin Milos R Popovic Jessie Navarro Erich T Fonoff Clement Hamani Willy Wong |
author_sort | Omid Talakoub |
collection | DOAJ |
description | In this study, we used electrocorticographic (ECoG) signals to extract the onset of arm movement as well as the velocity of the hand as a function of time. ECoG recordings were obtained from three individuals while they performed reaching tasks in the left, right and forward directions. The ECoG electrodes were placed over the motor cortex contralateral to the moving arm. Movement onset was detected from gamma activity with near perfect accuracy (> 98%), and a multiple linear regression model was used to predict the trajectory of the reaching task in three-dimensional space with an accuracy exceeding 85%. An adaptive selection of frequency bands was used for movement classification and prediction. This demonstrates the efficacy of developing a real-time brain-machine interface for arm movements with as few as eight ECoG electrodes. |
first_indexed | 2024-12-16T18:08:19Z |
format | Article |
id | doaj.art-7924d2e9cf454c43bbaf5eb7b5b2cf2e |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-12-16T18:08:19Z |
publishDate | 2017-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-7924d2e9cf454c43bbaf5eb7b5b2cf2e2022-12-21T22:21:51ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01129e018254210.1371/journal.pone.0182542Reconstruction of reaching movement trajectories using electrocorticographic signals in humans.Omid TalakoubCesar Marquez-ChinMilos R PopovicJessie NavarroErich T FonoffClement HamaniWilly WongIn this study, we used electrocorticographic (ECoG) signals to extract the onset of arm movement as well as the velocity of the hand as a function of time. ECoG recordings were obtained from three individuals while they performed reaching tasks in the left, right and forward directions. The ECoG electrodes were placed over the motor cortex contralateral to the moving arm. Movement onset was detected from gamma activity with near perfect accuracy (> 98%), and a multiple linear regression model was used to predict the trajectory of the reaching task in three-dimensional space with an accuracy exceeding 85%. An adaptive selection of frequency bands was used for movement classification and prediction. This demonstrates the efficacy of developing a real-time brain-machine interface for arm movements with as few as eight ECoG electrodes.http://europepmc.org/articles/PMC5606933?pdf=render |
spellingShingle | Omid Talakoub Cesar Marquez-Chin Milos R Popovic Jessie Navarro Erich T Fonoff Clement Hamani Willy Wong Reconstruction of reaching movement trajectories using electrocorticographic signals in humans. PLoS ONE |
title | Reconstruction of reaching movement trajectories using electrocorticographic signals in humans. |
title_full | Reconstruction of reaching movement trajectories using electrocorticographic signals in humans. |
title_fullStr | Reconstruction of reaching movement trajectories using electrocorticographic signals in humans. |
title_full_unstemmed | Reconstruction of reaching movement trajectories using electrocorticographic signals in humans. |
title_short | Reconstruction of reaching movement trajectories using electrocorticographic signals in humans. |
title_sort | reconstruction of reaching movement trajectories using electrocorticographic signals in humans |
url | http://europepmc.org/articles/PMC5606933?pdf=render |
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