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3D electrode localization on wireless sensor networks for wearable BCI

: Figueiredo, C.P.; Dias, N.S.; Hoffmann, K.-P.; Mendes, P.M.


Dumont, G. ; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Engineering in Medicine and Biology Society -EMBS-:
30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2008 : "Personalized Healthcare through Technology", August, 20-24, 2008, Vancouver Convention & Exhibition Centre, Vancouver, British Columbia, Canada
Piscataway, NJ: IEEE, 2008
ISBN: 978-1-4244-1814-5
ISBN: 978-1-4244-1815-2
Engineering in Medicine and Biology Society (Annual International Conference) <30, 2008, Vancouver>
Fraunhofer IBMT ()

This paper presents a solution for electrode localization on wearable BCI radio-enabled electrodes. Electrode positioning is a common issue in any electrical physiological recording. Although wireless node localization is a very active research topic, a precise method with few centimeters of range and a resolution in the order of millimeters is still to be found, since far-field measurements are very prone to error. The calculation of 3D coordinates for each electrode is based on anchorless range-based localization algorithms such as Multidimensional Scaling and Self-Positioning Algorithm. The implemented solution relies on the association of a small antenna to measure the magnetic field and a microcontroller to each electrode, which will be part of the wireless sensor network module. The implemented solution is suitable for EEG applications, namely the wearable BCI, with expected range of 20 cm and resolution of 5 mm.