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  • 标题:New modeling results for an EEG measurement system with exciting and reading electrodes
  • 本地全文:下载
  • 作者:Mariana Mulinari Pinheiro Machado ; Alina Voda ; Gildas Besançon
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:15922-15927
  • DOI:10.1016/j.ifacol.2020.12.351
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn a context where electroencephalography (EEG) is largely used for brain studies, this paper focuses on the dynamics of the measurement process itself by means of a so-called phantom EEG device developed in a former study. A model is proposed in order to better understand the physical properties of each part of the measurement chain separately, with the purpose of helping for a better recovery of neuronal activity. The model structure is based on a physical analysis, and parametric identification is used in combination with it to estimate all the underlying physical components. Numerical results are provided based on experimental data.
  • 关键词:KeywordsElectroencephalography (EEG) measurement chainphantom EEGelectrode/electrolyte interfacenon integer order modelmodelingidentification
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