An environment for complex behaviour detection in bio-potential experiments

作者：Bucolo Maide^*; Di Grazia Federica; Fortuna Luigi; Frasca Mattia; Sapuppo Francesca

来源：Mathematical Biosciences and Engineering, 2008, 5(2): 261-276.

• nonlinear analysis
• independent component analysis
• d-infinite (d(infinity))

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. It includes several modules as data importing and loading, data visualization (1D, 2D, 3D), pre-processing (frequency and saturation filtering, statistical analysis), spatio-temporal processing such as power spectrum, independent component analysis (ICA) in spatial and time domain, and nonlinear analysis for the extraction of the maximum Lyapunov exponent and d(infinity) (d-inifnite) using optimized algorithms. The environment provides a user-friendly Graphic User Interface that allows inexperienced users to perform complex analyses and to speed up experimental data processing.

• 出版日期2008-4