• DocumentCode
    766358
  • Title

    Nonlinear alignment and averaging for estimating the evoked potential

  • Author

    Gupta, Lalit ; Molfese, Dennis L. ; Tammana, Ravi ; Simos, Panagiotis G.

  • Author_Institution
    Dept. of Electr. Eng., Southern Illinois Univ., Carbondale, IL, USA
  • Volume
    43
  • Issue
    4
  • fYear
    1996
  • fDate
    4/1/1996 12:00:00 AM
  • Firstpage
    348
  • Lastpage
    356
  • Abstract
    Addresses the problems associated with averaging brain responses evoked through a repetitive application of an external stimulus. In order to improve the estimate of the evoked potential (EP) through signal averaging, a method which incorporates nonlinear alignment of the EPs into the averaging operation is developed. The method makes no prior assumptions about the properties of the EP or which response in the set best characterizes the EP to be estimated. The nonlinear alignment procedure is designed to pairwise generate optimally aligned EPs by backtracking along the optimal alignment path. The nonlinear alignment and averaging operations are systematically combined to develop methods to estimate the EP. Results from a series of experiments conducted on simulated and real sets of responses show that, through nonlinear alignment and averaging, the events in the EPs are preserved and the estimates of the EP are quite robust.
  • Keywords
    bioelectric potentials; electroencephalography; medical signal processing; backtracking; evoked potential estimation; human scalp-recorded evoked potentials; nonlinear alignment procedure; optimal alignment path; pairwise generation; repetitive external stimulus; signal averaging; Additive noise; Brain modeling; Delay; Discrete event simulation; Electroencephalography; Humans; Noise measurement; Noise reduction; Noise robustness; Signal to noise ratio; Adult; Algorithms; Brain; Electroencephalography; Electrooculography; Evoked Potentials; Humans; Models, Neurological; Nonlinear Dynamics; Photic Stimulation; Scalp; Time Factors;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.486255
  • Filename
    486255