A Microcontroller Based Approach for Nonlinear Characterization of Magnetoencephalographic Data

A microcontroller based system has been developed in order to characterize, in real time, magnetoencephalographic (MEG) signals. The signal are analyzed by using nonlinear data analysis method to extract the d∝ parameter. The signals under consideration are acquired on the whole-head MEG acquisition system and are analyzed in order to characterize spatiotemporal pattern. The microcontroller based implementation represents a low cost stand-alone solution for the analysis of any physiological signals (MEG, EEG, ECG, etc) suitable for first aid approaches and early diagnostics. The real time feature of the proposed approach could thus allow, in the future, a clinical applications of such methodology