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Abstract
Functional near infrared spectroscopy and electroencephalography are non-invasive techniques that rely on sensors placed over the scalp. The spatial localization of the measured brain activity requires the precise individuation of sensor positions and, when individual anatomical information is not available, the accurate registration of these sensor positions to a head atlas. Both these issues could be successfully addressed using a photogrammetry-based method. In this study we demonstrate that sensor positions can be accurately detected from a video recorded with a smartphone, with a median localization error of 0.7 mm, comparable if not lower, to that of conventional approaches. Furthermore, we demonstrate that the additional information of the shape of the participant’s head can be further exploited to improve the registration of the sensor’s positions to a head atlas, reducing the median sensor localization error of 31% compared to the standard registration approach.
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Details
1 University of Padova, Department of Developmental and Social Psychology, Padua, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470); University of Padova, Department of Information Engineering, Padua, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470)
2 University of Padova, Department of Information Engineering, Padua, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470); University of Verona, Department of Neuroscience, Biomedicine and Movements, Verona, Italy (GRID:grid.5611.3) (ISNI:0000 0004 1763 1124)
3 University College London, DOT-HUB, Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, London, UK (GRID:grid.83440.3b) (ISNI:0000000121901201)