• DocumentCode
    3082648
  • Title

    A simulation study assessing the efficiency of deriving evoked responses using high stimulus rate

  • Author

    Wang, Tao ; Su, Yuan-Yuan ; Shen, Qian ; Ma, Jianhua

  • Author_Institution
    Southern Medical University, Guangzhou, China
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    5033
  • Lastpage
    5036
  • Abstract
    This study investigates the effects of stimulus rate on the recording efficiency of evoked-response scenario using a computer generated data simulating auditory evoked potentials (AEPs). We examine AEPs derived from three paradigms: 1) Conventional stimuli for ensemble averaging; 2) continuous loop averaging deconvolution (CLAD); and 3) maximum length sequence (MLS) stimuli, in which deconvolution techniques are incorporated to retrieve the overlapped responses. The performance is evaluated by correlation coefficients between the ideal and the derived responses. The results show that there is no distinct improvement of SNR for high rate stimulation paradigms, suggesting that the techniques of deconvolution in high rate will not provide more efficient recording approach. Further, responses from the CLAD paradigm tend to deteriorate compared to the other two methods due to the lower jittering arrangement of the sequence.
  • Keywords
    Attenuation; Computational modeling; Convolution; Deconvolution; Equations; Intersymbol interference; Multilevel systems; Noise generators; Signal to noise ratio; Wiener filter; Acoustic Stimulation; Auditory Cortex; Computer Simulation; Electroencephalography; Evoked Potentials, Auditory; Humans; Models, Neurological;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650344
  • Filename
    4650344