American Institute of Mathematical Sciences

Advanced
2008, 5(2): 261-276. doi: 10.3934/mbe.2008.5.261

An environment for complex behaviour detection in bio-potential experiments

Maide Bucolo 1, , Federica Di Grazia 1, , Luigi Fortuna 1, , Mattia Frasca 2, and  Francesca Sapuppo 1,

1. 

Dipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi, Universita degli Studi di Catania, Viale A. Doria 6, 95125 Catania, Italy, Italy
2. 

Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi, Facoltà di Ingegneria, Università degli Studi di Catania, viale A. Doria 6, 95125 Catania

Received  October 2007 Revised  February 2008 Published  March 2008

We propose BioS (Bio-potential Study) as a new virtual data anal- ysis and management environment.It was devised to cope with the physiological signals, in order to manage different data using advanced methods of analy- sis and to find a simple way to decode and interpret data. BioS has been structured as a flexible, modular, and portable environment. It includes sev- eral 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 ∞(d-inifnite) using optimized al- gorithms. The environment provides a user-friendly Graphic User Interface that allows inexperienced users to perform complex analyses and to speed up experimental data processing.
Keywords: Nonlinear Analysis, Independent Component Analysis, d-infinite(d ∞)..
Mathematics Subject Classification: 92C5.
Citation: Maide Bucolo, Federica Di Grazia, Luigi Fortuna, Mattia Frasca, Francesca Sapuppo. An environment for complex behaviour detection in bio-potential experiments. Mathematical Biosciences & Engineering, 2008, 5 (2) : 261-276. doi: 10.3934/mbe.2008.5.261
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