Embedded EEG localization error using separately lobe for electrodes configuration

The study of the EEG inverse problem consists in active brain´s source reconstruction. In this paper we review the localization error from this reconstruction using a new configuration of electrodes on the scalp. The suggested new configuration consists on studying each lobe separately. The objective is to minimize the localization error with a minimum number of electrodes. To validate this study, we use the Shrinking sLORETA-FOCUSS method as a solution of the inverse problem. The obtained results show very interesting values using a minimum number of electrodes placed on the scalp surface. In this paper we will embed the proposed approach on an FPGA platform using adaptation techniques. Due to different electrodes we used the dynamic partial reconfiguration technic. The different electrodes data are treated by IPs based on VHDL accelerators. The proposed architecture will be embedded on Xilinx Virtex 5 ML 507 platform.