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Single Camera Photogrammetry System for EEG Electrode Identification and Localization

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Abstract

In this study, photogrammetric coordinate measurement and color-based 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 6.5 μm accuracy. It is found that the proposed system automatically identifies electrodes and localizes them with a maximum error of 0.77 mm. It is suggested that this method may be used in EEG source localization applications in the human brain.

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Acknowledgments

This work has been partially supported by Turkish State Planning Organization Research Project DPT 03K 120 570-05-3; Hacettepe University Scientific Research Projects AFP 04-01-602-007 and AFP 02-02-602-009; 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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Authors and Affiliations

  1. Electrical and Electronics Engineering Department, Hacettepe University, Beytepe Campus, Ankara, 06800, Turkey

    Uğur Baysal & Gökhan Şengül

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  1. Uğur Baysal
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  2. Gökhan Şengül
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Correspondence to Uğur Baysal.

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Associate Editor Larry V. McIntire oversaw the review of this article.

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Baysal, U., Şengül, G. Single Camera Photogrammetry System for EEG Electrode Identification and Localization. Ann Biomed Eng 38, 1539–1547 (2010). https://doi.org/10.1007/s10439-010-9950-4

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  • DOI: https://doi.org/10.1007/s10439-010-9950-4

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