• DocumentCode
    1216358
  • Title

    A Microprocessor-Based System for Diagnosis of Cognitive Dysfunction

  • Author

    Raghavan, Narasimhan ; Glover, John R., Jr. ; Sheer, Daniel E.

  • Author_Institution
    Department of Electrical Engineering, University of Houston
  • Issue
    10
  • fYear
    1986
  • Firstpage
    942
  • Lastpage
    948
  • Abstract
    Memory impairment has been associated with a deficit in a functional component of attention termed "focused arousal." Short, aperiodic bursts of EEG activity in a narrow frequency band (36¿44 Hz) centered at 40 Hz have been established as an indicator of this state of "focused arousal." A measure of this 40 Hz EEG activity could be very useful in the diagnosis of different types of cognitive dysfunction. Automated detection of the 40 Hz bursts is seriously hampered by the presence of high amplitude EMG signals from the scalp muscles and by the low amplitude of the 40 Hz EEG.
  • Keywords
    Alzheimer´s disease; Electroencephalography; Electromyography; Frequency; Microprocessors; Muscles; Problem-solving; Psychology; Scalp; Signal analysis; Alzheimer Disease; Biomedical Engineering; Cognition Disorders; Diagnosis, Computer-Assisted; Electroencephalography; Humans;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.1986.325665
  • Filename
    4122181