• DocumentCode
    1393669
  • Title

    In the Spotlight: Biomedical Signal Processing

  • Author

    Cerutti, Sergio

  • Volume
    3
  • fYear
    2010
  • fDate
    7/2/1905 12:00:00 AM
  • Firstpage
    10
  • Lastpage
    11
  • Abstract
    BSP is a well established discipline and constitutes the corner stone for the training of Biomedical Engineers both at undergraduate and at graduate levels. No basic curriculum on Biomedical Engineering could even exist without one or more BSP courses. All the advanced methods of signal processing (from traditional linear digital filtering up to non linear higher-order approaches) have been applied to BSP. The EEG signal, which is basically pseudo-stochastic, is a good example: the information contained in the original tracings, which are generally used for physiological or clinical interpretation, is hardly directly interpretable unless a more or less complicate pre-processing is done. This reasoning is obviously applicable, in different contexts, to other biomedical signals.
  • Keywords
    electroencephalography; medical signal processing; neurophysiology; EEG; biomedical engineering; biomedical signal processing; clinical interpretation; physiological interpretation; pseudostochastic signal; Biomedical monitoring; Biomedical signal processing; Signal processing algorithms; Algorithms; Biomedical Engineering; Electroencephalography; Humans; Signal Processing, Computer-Assisted; Software;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Reviews in
  • Publisher
    ieee
  • ISSN
    1937-3333
  • Type

    jour

  • DOI
    10.1109/RBME.2010.2082710
  • Filename
    5656445