• DocumentCode
    1340136
  • Title

    Decomposition of posterior alpha rhythm

  • Author

    Bhattacharya, Joydeep ; Kanjilal, Partha Pratim ; Nizamie, S. Haque

  • Author_Institution
    Max-Planck Inst. fur Phys. Komplexer Syst., Dresden, Germany
  • Volume
    47
  • Issue
    6
  • fYear
    2000
  • fDate
    6/1/2000 12:00:00 AM
  • Firstpage
    738
  • Lastpage
    747
  • Abstract
    The classical posterior alpha rhythm has been decomposed into regular and irregular components using orthogonal transformation. A periodicity generator is considered, which has three characteristic control parameters: the periodicity, the amplitudes or scaling factors and the pattern associated with successive periodic segments. The regular component is shown to be equivalent to an oscillator or periodicity generator whose parameters are dynamically varying and, thus, producing both amplitude- and frequency-modulation. The irregular component is devoid of such modulating behavior. Electroencephalogram signals from normal, maniac and epileptic subjects are studied. Through analytic signal-based analysis, it is shown that for the regular component, healthy brain possesses universal scaling behavior, whereas heterogeneous scaling or absence of universality is observed for the diseased brain.
  • Keywords
    diseases; electroencephalography; medical signal processing; diseased brain; electrodiagnostics; epileptic subjects; heterogeneous scaling; maniac subjects; normal subjects; oscillator; periodicity generator; posterior alpha rhythm decomposition; successive periodic segments; universal scaling behavior; universality absence; Character generation; Electroencephalography; Epilepsy; Eyes; Frequency; Humans; Information processing; Oscillators; Rhythm; Signal analysis; Adolescent; Adult; Aged; Alpha Rhythm; Bipolar Disorder; Epilepsy; Humans; Middle Aged; Nonlinear Dynamics; Periodicity; Reference Values;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.844222
  • Filename
    844222