• DocumentCode
    1744969
  • Title

    Spatio-temporal distribution of brain electrical activity patterns in epilepsy: inputs for cellular neural networks

  • Author

    Tetzlaff, Ronald ; Kunz, R.

  • Author_Institution
    Inst. fur Angewandte Phys., Frankfurt Univ.
  • Volume
    3
  • fYear
    2001
  • fDate
    6-9 May 2001
  • Firstpage
    329
  • Abstract
    A new approach to the analysis of brain electrical activity in epilepsy is introduced. It is based on Cellular Neural Networks (CNN) with linear weight functions and nonpropagating templates. For a CNN with binary steady state outputs and binary inputs (Boolean CNN) the measured relative frequency of different CNN input patterns of brain electrical activity is discussed applying focal and non-focal electrodes
  • Keywords
    cellular neural nets; diseases; electroencephalography; medical signal processing; pattern recognition; Boolean CNN; CNN inputs; binary inputs; binary steady state outputs; brain electrical activity patterns; cellular neural networks; epilepsy; focal electrodes; linear weight functions; nonfocal electrodes; nonpropagating templates; spatio-temporal distribution; Artificial intelligence; Brain; Cellular neural networks; Decoding; Electric variables measurement; Electrodes; Epilepsy; Frequency measurement; Intelligent networks; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-6685-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2001.921314
  • Filename
    921314
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1744969