• DocumentCode
    805842
  • Title

    TDAT-time domain analysis tool for EEG analysis

  • Author

    Park, Seunghun ; Principe, Jose C. ; Smith, Jack R. ; Reid, Steven A.

  • Author_Institution
    Dept. of Electr. Eng., Florida Univ., Gainesville, FL, USA
  • Volume
    37
  • Issue
    8
  • fYear
    1990
  • Firstpage
    803
  • Lastpage
    811
  • Abstract
    An interactive design and analysis tool for displaying and quantifying multiple channels of data is presented. The system allows one to visualize multiple data channels easily while simultaneously observing the effects of filters on the data and to evaluate signal detection algorithms. The software is designed for a workstation environment; it will find application in a variety of applications where one needs to visualize multiple data channels simultaneously. This time-domain analysis tool (TDAT) is used for the design and evaluation of filters and detection algorithms for electroencephalogram (EEG) waveforms, and serves as a prototype of a paperless system to be used by electroencephalographers. The general software structure of the system is described, and many of the system´s features are illustrated.
  • Keywords
    computerised signal processing; electroencephalography; interactive systems; medical diagnostic computing; time-domain analysis; waveform analysis; EEG analysis; effects of filters; interactive design and analysis tool; multiple channels of data; paperless system; signal detection algorithms; software structure; time domain analysis tool; workstation environment; Algorithm design and analysis; Application software; Data visualization; Detection algorithms; Electroencephalography; Filters; Signal detection; Software design; Time domain analysis; Workstations; Algorithms; Computer Systems; Electroencephalography; Humans; Signal Processing, Computer-Assisted; Software; Software Design; Time Factors; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.102796
  • Filename
    102796