Journal
IFAC PAPERSONLINE
Volume 53, Issue 2, Pages 15922-15927Publisher
ELSEVIER
DOI: 10.1016/j.ifacol.2020.12.351
Keywords
Electroencephalography (EEG) measurement chain; phantom EEG; electrode/electrolyte interface; non integer order model; modeling; identification
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In 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. Copyright (C) 2020 The Authors.
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