Using a Motion Capture System for Spatial Localization of EEG Electrodes.
Electroencephalography (EEG) is often used in source analysis studies, in which the locations of cortex regions responsible for a signal are determined. For this to be possible, accurate positions of the electrodes at the scalp surface must be determined, otherwise errors in the source estimation wi...
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doaj-3afa3e7dca3341d0b7073e21f7463c1e2020-11-24T21:54:45ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2015-04-01910.3389/fnins.2015.00130130460Using a Motion Capture System for Spatial Localization of EEG Electrodes.Pedro eReis0Matthias eLochmann1Department of Sport and Exercise Medicine, Institute of Sport and Sport Sciences, Friedrich-Alexander Universität Erlangen-NürnbergDepartment of Sport and Exercise Medicine, Institute of Sport and Sport Sciences, Friedrich-Alexander Universität Erlangen-NürnbergElectroencephalography (EEG) is often used in source analysis studies, in which the locations of cortex regions responsible for a signal are determined. For this to be possible, accurate positions of the electrodes at the scalp surface must be determined, otherwise errors in the source estimation will occur. Today, several methods for acquiring these positions exist but they are often not satisfyingly accurate or take a long time to perform. Therefore, in this paper we describe a method capable of determining the positions accurately and fast.This method uses an infrared light motion capture system (IR-MOCAP) with 8 cameras arranged around a human participant. It acquires 3D coordinates of each electrode and automatically labels them. Each electrode has a small reflector on top of it thus allowing its detection by the cameras. We tested the accuracy of the presented method by acquiring the electrodes positions on a rigid sphere model and comparing these with measurements from computer tomography (CT). The average Euclidean distance between the sphere model CT measurements and the presented method was 1.23 mm with an average standard deviation of 0.51 mm. We also tested the method with a human participant. The measurement was quickly performed and all positions were captured.These results tell that, with this method, it is possible to acquire electrode positions with minimal error and little time effort for the study participants and investigators.http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00130/fullElectroencephalographymethodologyelectrodes digitalisationIR-MOCAPsensor locationX-ray computed tomography |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pedro eReis Matthias eLochmann |
spellingShingle |
Pedro eReis Matthias eLochmann Using a Motion Capture System for Spatial Localization of EEG Electrodes. Frontiers in Neuroscience Electroencephalography methodology electrodes digitalisation IR-MOCAP sensor location X-ray computed tomography |
author_facet |
Pedro eReis Matthias eLochmann |
author_sort |
Pedro eReis |
title |
Using a Motion Capture System for Spatial Localization of EEG Electrodes. |
title_short |
Using a Motion Capture System for Spatial Localization of EEG Electrodes. |
title_full |
Using a Motion Capture System for Spatial Localization of EEG Electrodes. |
title_fullStr |
Using a Motion Capture System for Spatial Localization of EEG Electrodes. |
title_full_unstemmed |
Using a Motion Capture System for Spatial Localization of EEG Electrodes. |
title_sort |
using a motion capture system for spatial localization of eeg electrodes. |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neuroscience |
issn |
1662-453X |
publishDate |
2015-04-01 |
description |
Electroencephalography (EEG) is often used in source analysis studies, in which the locations of cortex regions responsible for a signal are determined. For this to be possible, accurate positions of the electrodes at the scalp surface must be determined, otherwise errors in the source estimation will occur. Today, several methods for acquiring these positions exist but they are often not satisfyingly accurate or take a long time to perform. Therefore, in this paper we describe a method capable of determining the positions accurately and fast.This method uses an infrared light motion capture system (IR-MOCAP) with 8 cameras arranged around a human participant. It acquires 3D coordinates of each electrode and automatically labels them. Each electrode has a small reflector on top of it thus allowing its detection by the cameras. We tested the accuracy of the presented method by acquiring the electrodes positions on a rigid sphere model and comparing these with measurements from computer tomography (CT). The average Euclidean distance between the sphere model CT measurements and the presented method was 1.23 mm with an average standard deviation of 0.51 mm. We also tested the method with a human participant. The measurement was quickly performed and all positions were captured.These results tell that, with this method, it is possible to acquire electrode positions with minimal error and little time effort for the study participants and investigators. |
topic |
Electroencephalography methodology electrodes digitalisation IR-MOCAP sensor location X-ray computed tomography |
url |
http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00130/full |
work_keys_str_mv |
AT pedroereis usingamotioncapturesystemforspatiallocalizationofeegelectrodes AT matthiaselochmann usingamotioncapturesystemforspatiallocalizationofeegelectrodes |
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