Background: In longitudinal electroencephalography (EEG) studies, repeatable\nelectrode positioning is essential for reliable EEG assessment. Conventional methods\nuse anatomical landmarks as fiducial locations for the electrode placement. Since the\nlandmarks are manually identified, the EEG assessment is inevitably unreliable because\nof individual variations among the subjects and the examiners. To overcome this unreliability,\nan augmented reality (AR) visualization-based electrode guidance system was\nproposed.\nMethods: The proposed electrode guidance system is based on AR visualization to\nreplace the manual electrode positioning. After scanning and registration of the facial\nsurface of a subject by an RGB-D camera, the AR of the initial electrode positions as reference\npositions is overlapped with the current electrode positions in real time. Thus, it\ncan guide the position of the subsequently placed electrodes with high repeatability.\nResults: The experimental results with the phantom show that the repeatability of\nthe electrode positioning was improved compared to that of the conventional 10ââ?¬â??20\npositioning system.\nConclusion: The proposed AR guidance system improves the electrode positioning\nperformance with a cost-effective system, which uses only RGB-D camera. This system\ncan be used as an alternative to the international 10ââ?¬â??20 system.
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