• DocumentCode
    238034
  • Title

    Neural network-based information technology for biomedical signal processing

  • Author

    Shatnyi, Serhii

  • Author_Institution
    CAD Dept., Nat. Univ. Lviv Polytech., Lviv, Ukraine
  • fYear
    2014
  • fDate
    16-18 June 2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The main goal of this article is to develop and upgrade the existence technologies of the signals processing theory. By using methods and algorithms based on artificial neural networks, we expect the new way in development a complete analytical system for biomedical engineering problems. As is well known problem in theory of signal processing to achieve a high-speed and high-precision result, with the mixing of typical and modern design in the area of neural networks, multicore and parallel computing and designing the new type of sensors.
  • Keywords
    medical signal processing; multiprocessing systems; neural nets; artificial neural networks; biomedical signal processing; complete analytical system; multicore computing; neural network-based information technology; parallel computing; Artificial neural networks; Field programmable gate arrays; Sensors; Signal processing; Signal processing algorithms; Software; FPGA; artificial neural network; experiment; hardware implementation; hardware level; internal interaction; internal memory; logical device; main bus; microcontroller; simulation; structure scheme;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwaves, Radar, and Wireless Communication (MIKON), 2014 20th International Conference on
  • Conference_Location
    Gdansk
  • Print_ISBN
    978-617-607-553-0
  • Type

    conf

  • DOI
    10.1109/MIKON.2014.6899884
  • Filename
    6899884