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Title of Journal: Ann Biomed Eng

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Abbravation: Annals of Biomedical Engineering

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Springer US

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DOI

10.1002/spe.2226

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1573-9686

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Single Camera Photogrammetry System for EEG Electr

Authors: Uğur Baysal Gökhan Şengül
Publish Date: 2010/02/09
Volume: 38, Issue: 4, Pages: 1539-1547
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Abstract

In this study photogrammetric coordinate measurement and colorbased identification of EEG electrode positions on the human head are simultaneously implemented A rotating 2MP digital camera about 20 cm above the subject’s head is used and the images are acquired at predefined stop points separated azimuthally at equal angular displacements In order to realize full automation the electrodes have been labeled by colored circular markers and an electrode recognition algorithm has been developed The proposed method has been tested by using a plastic head phantom carrying 25 electrode markers Electrode locations have been determined while incorporating three different methods i the proposed photogrammetric method ii conventional 3D radiofrequency RF digitizer and iii coordinate measurement machine having about 65 μm accuracy It is found that the proposed system automatically identifies electrodes and localizes them with a maximum error of 077 mm It is suggested that this method may be used in EEG source localization applications in the human brainThis work has been partially supported by Turkish State Planning Organization Research Project DPT 03K 120 570053 Hacettepe University Scientific Research Projects AFP 0401602007 and AFP 0202602009 TUBITAK EEEAG 106E063 EEEAG 104E020 and 108E002 projects We are indebted to Prof Volkan Atalay for his valuable comments related to camera calibration during a phone conversation We would like also to thank Middle East Technical University BILTIR Center for CMM data collection

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