• DocumentCode
    1849369
  • Title

    BioS: a New Tool for Biopotential Experiments

  • Author

    Bucolo, M. ; Di Grazia, F. ; Frasca, M. ; Fortuna, L. ; Sapuppo, F.

  • Author_Institution
    Univ. degli Studi di Catania, Catania
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    5190
  • Lastpage
    5193
  • Abstract
    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). BioS, also, provides a user- friendly Graphic User Interface designed to allow all user to speed up data analysis experiments.
  • Keywords
    bioelectric potentials; data visualisation; graphical user interfaces; independent component analysis; mathematics computing; medical signal processing; spatiotemporal phenomena; spectral analysis; BioS tool; Matlab; biopotential analysis; data importing; data visualization; independent component analysis; nonlinear analysis; power spectrum analysis; saturation filtering; signal preprocessing; spatio-temporal processing; statistical analysis; userfriendly graphic user interface; Data analysis; Data visualization; Filtering; Frequency; Geometry; Graphics; Independent component analysis; Statistical analysis; Time domain analysis; User interfaces; Action Potentials; Algorithms; Brain Mapping; Data Display; Diagnosis, Computer-Assisted; Humans; Information Storage and Retrieval; Magnetoencephalography; Programming Languages; Signal Processing, Computer-Assisted; Software; Software Design; User-Computer Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353511
  • Filename
    4353511