Geodesic photogrammetry for localizing sensor positions in dense-array EEG

Gerald S. Russell; K Jeffrey Eriksen; Pieter Poolman; Phan Luu; Don M. Tucker

doi:10.1016/j.clinph.2004.12.022

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Geodesic photogrammetry for localizing sensor positions in dense-array EEG

Journal article

Peer reviewed

Geodesic photogrammetry for localizing sensor positions in dense-array EEG

Gerald S. Russell, K Jeffrey Eriksen, Pieter Poolman, Phan Luu and Don M. Tucker

Clinical neurophysiology, Vol.116(5), pp.1130-1140

05/01/2005

DOI: 10.1016/j.clinph.2004.12.022

PMID: 15826854

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Abstract

An important goal for functional brain studies using EEG technology is to estimate the location of brain sources that produce the scalp-recorded signals. The accuracy of source estimates is dependent upon many variables, one of which is the accurate description of the scalp positions of the EEG sensors. The objective of the present research was to develop a photogrammatic method for sensor localization that is fast, accurate, and easy to use. With the novel photogrammetric method, multiple cameras were arranged in a geodesic array, and images of the sensors on the subject's head were acquired allowing for the reconstruction of the 3D sensor positions. Data from the photogrammetric method were compared with data acquired with the conventional electromagnetic method. The accuracy of the photogrammatic method, quantified as RMS of the measured positions and the actual known positions, was similar (mean error=1.27 mm) to the electromagnetic method (mean error=1.02 mm), and both approximated the localization error of the calibration object (mean error=0.56 mm). Accurate determination of 3D sensor positions can be accomplished with minimal demands on the time of the subject and the experimenter using the photogrammetric method.

Dense-array EEG

ERP

Sensor location

Sensor position

Sensor registration

Source analysis

Details

Title: Subtitle: Geodesic photogrammetry for localizing sensor positions in dense-array EEG
Creators: Gerald S. Russell - Electrical Geodesics
K Jeffrey Eriksen
Pieter Poolman - Electrical Geodesics
Phan Luu - Electrical Geodesics
Don M. Tucker - Electrical Geodesics
Resource Type: Journal article
Publication Details: Clinical neurophysiology, Vol.116(5), pp.1130-1140
Publisher: Elsevier Ireland Ltd
DOI: 10.1016/j.clinph.2004.12.022
PMID: 15826854
ISSN: 1388-2457
eISSN: 1872-8952
Language: English
Date published: 05/01/2005
Academic Unit: Ophthalmology and Visual Sciences
Record Identifier: 9984635111602771

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