Analysis Of Nociceptive Evoked Potentials During Multi-Stimulus Experiments Using Linear Mixed Models

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    Abstract

    Neural processing of sensory stimuli can be studied using EEG by estimation of the evoked potential using the averages of large sets of trials. However, it is not always possible to include all stimulus parameters in a conventional analysis, since this would lead to an insufficient amount of trials to obtain the evoked potential by averaging. Linear mixed models use dependencies within the data to combine information from all data for the estimation of the evoked potential. In this work, it is shown that in multi-stimulus EEG data the quality of an evoked potential estimate can be improved by using a linear mixed model. Furthermore, the linear mixed model effectively deals with correlation between parameters in the data and reveals the influence of individual stimulus parameters.
    Original languageEnglish
    Title of host publication 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
    PublisherIEEE
    Pages3048
    Number of pages3051
    ISBN (Electronic)978-1-5386-3646-6
    ISBN (Print)978-1-5386-3647-3
    DOIs
    Publication statusPublished - 29 Oct 2018
    Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Hawaii Convention Center, Honolulu, United States
    Duration: 17 Jul 201821 Jul 2018
    Conference number: 40
    https://embc.embs.org/2018/

    Conference

    Conference40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
    Abbreviated titleEMBC 2018
    Country/TerritoryUnited States
    CityHonolulu
    Period17/07/1821/07/18
    Internet address

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