• DocumentCode
    2168710
  • Title

    Performance measures for ERP signal extraction methods

  • Author

    Tajwar, Samina ; Mason, Steven G. ; Birch, Gary E.

  • Author_Institution
    Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada
  • fYear
    1993
  • fDate
    14-17 Sep 1993
  • Firstpage
    1097
  • Abstract
    A critical problem encountered in evaluating methods that extract event-related potentials (ERPs) from single-trial electroencephalograph (EEG) signals is the inadequacy of available performance measures. Here the authors analyzed two standard performance measures, Normalized Mean Squared Error and correlation, and a lesser used measure, dynamic time warping (DTW), and explored the conditions under which they provide misleading results. The authors´ experience to date leads them to recommend the use of a combination of a shift-tolerant, correlation-based measure, such as DTW, and a robust Normalized Mean Square Error measure
  • Keywords
    bioelectric potentials; electroencephalography; medical signal processing; ERP signal extraction methods; dynamic time warping; normalized mean squared error; performance measures; shift-tolerant correlation-based measure; single-trial electroencephalograph signals; Costs; Data mining; Electroencephalography; Energy measurement; Enterprise resource planning; Measurement standards; Robustness; Shape measurement; Signal analysis; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1993. Canadian Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2416-1
  • Type

    conf

  • DOI
    10.1109/CCECE.1993.332266
  • Filename
    332266