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Using a motion capture system for spatial localization of EEG electrodes.

Reis PM, Lochmann M - Front Neurosci (2015)

Bottom Line: 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.The measurement was quickly performed and all positions were captured.

View Article: PubMed Central - PubMed

Affiliation: Department of Sports and Exercise Medicine, Institute of Sport Science and Sport, Friedrich-Alexander-University Erlangen-Nuremberg Erlangen, Germany.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Electrodes 3D view on a typical EEG analysis software.
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Figure 8: Electrodes 3D view on a typical EEG analysis software.

Mentions: The results are in Figure 8. These are possible to import and utilize with a software that reads custom electrode positions for EEG signal analysis. These images are taken from Cartool (brainmapping.unige.ch/cartool), a free open source software for pre-processing and advanced source localization and analysis of EEG activity.


Using a motion capture system for spatial localization of EEG electrodes.

Reis PM, Lochmann M - Front Neurosci (2015)

Electrodes 3D view on a typical EEG analysis software.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4403350&req=5

Figure 8: Electrodes 3D view on a typical EEG analysis software.
Mentions: The results are in Figure 8. These are possible to import and utilize with a software that reads custom electrode positions for EEG signal analysis. These images are taken from Cartool (brainmapping.unige.ch/cartool), a free open source software for pre-processing and advanced source localization and analysis of EEG activity.

Bottom Line: 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.The measurement was quickly performed and all positions were captured.

View Article: PubMed Central - PubMed

Affiliation: Department of Sports and Exercise Medicine, Institute of Sport Science and Sport, Friedrich-Alexander-University Erlangen-Nuremberg Erlangen, Germany.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus