title: An environment for complex behaviour detection in bio-potential experiments.
abstract: 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), spatiotemporal 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 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.
authors.affiliation: Dipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi, Universita degli Studi di Catania, Viale A. Doria 6, 95125 Catania, Italy. maide.bucolo@diees.unict.it
authors.forename: Maide
authors.initials: M
authors.lastname: Bucolo
authors.forename: Federica
authors.initials: F
authors.lastname: Di Grazia
authors.forename: Luigi
authors.initials: L
authors.lastname: Fortuna
authors.forename: Mattia
authors.initials: M
authors.lastname: Frasca
authors.forename: Francesca
authors.initials: F
authors.lastname: Sapuppo
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D003627:Data Interpretation, Statistical; D001330:Electronic Data Processing; D006801:Humans; D008433:Mathematics; D015233:Models, Statistical; D008962:Models, Theoretical; D025341:Principal Component Analysis; D012815:Signal Processing, Computer-Assisted; D012984:Software; D012985:Software Design; D013997:Time Factors; D014584:User-Computer Interface