An environment for complex behaviour detection in bio-potential experiments.

We propose BioS (Bio-potential Study) as a new virtual data analysis and management environment. It was devised to cope with the physiological signals, in order to manage different data using advanced methods of analysis and to find a simple way to decode and interpret data. BioS has been structured as a flexible, modular, and portable environment.

BioS: a new tool for biopotential experiments.

BioS (Bio-potential Study), a novel environment for Biopotential analysis is here proposed. It provides the processing of biopotentials of any number of channels distributed with different geometry. It includes several features as data importing, data visualization (1D, 2D, 3D), preprocessing (frequency & saturation filtering, statistical analysis), spatio-temporal processing (power spectrum analysis, nonlinear analysis, independent component analysis both in the spatial and time domain).

Complementary methods for interpreting brain signals: linear versus nonlinear techniques.

Magnetoencephalography (MEG) brain signals are characterized using both linear and nonlinear dynamical methods. The linear approach employs the power analysis in a spatial visualization. The nonlinear approach estimates the value of d(infinity) to characterize the system's asymptotic chaotic behavior using a computationally less onerous method than the conventional one for d(infinity).