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Using a Motion Capture System for Spatial Localization of EEG Electrodes

Using a Motion Capture System for Spatial Localization of EEG Electrodes

Authors: 
Pedro M. R. Reis, Matthias Lochmann
Year: 
2015
Journal: 
Frontiers in Neuroscience
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.

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