3.8 Article

Accuracy of high-density EEG electrode position measurement using an optical scanner compared with the photogrammetry method

Journal

CLINICAL NEUROPHYSIOLOGY PRACTICE
Volume 7, Issue -, Pages 135-138

Publisher

ELSEVIER
DOI: 10.1016/j.cnp.2022.04.002

Keywords

3D EEG electrode coordinates; High-density EEG; Optical scanner; Photogrammetry

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Funding

  1. International Federation of Clinical Neurophysiology [F-22523-11]
  2. Augustinus Foundation

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This study aimed to evaluate the accuracy and feasibility of a handheld optical scanner for measuring high-density EEG electrode coordinates. The results showed that the optical scanner had a lower mean distance error compared to the photogrammetry method, and the real-time scanning time was shorter. The handheld optical scanner is suitable for EEG source imaging in the clinical setting.
Objective: To determine the feasibility and accuracy of a handheld optical scanner to measure the three-dimensional (3D) EEG electrode coordinates in a high-density array of 256 electrodes.Methods: We compared the optical scanning with a previously validated method, based on photogram-metry. Electrode coordinates were co-registered with the MRI of the patients, and mean distance error relative to the three-dimensional MRI reconstruction was determined for each patient. We included 60 patients: 30 were measured using the photogrammetry method, and 30 age and gender matched patients were measured with the optical scanner.Results: Using the optical scanner, the mean distance error was 1.78 mm (95% confidence interval: 1.59- 1.98 mm) which was significantly lower (p < 0.001) compared with the photogrammetry method (mean distance error: 2.43 mm; 95% confidence interval: 2.28-2.57 mm). The real-time scanning took 5-10 min per patient.Conclusions: The handheld optical scanner is more accurate and feasible, compared to the photogramme-try method.Significance: Measuring EEG electrode positions in high-density array, using the optical scanner is suit-able for clinical implementation in EEG source imaging for presurgical evaluation.(c) 2022 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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