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Article Dans Une Revue IEEE Transactions on Control Systems Technology Année : 2020

Fractional order modelling and identification for a phantom EEG system

Résumé

This paper is about dynamical modelling of an electroencephalographic (EEG) measurement chain. It is based on a home-made experimental set-up consisting of an electrolytic medium, stimulated by external electrodes, the activity of which is measured at different points via other electrodes, connected to anelectroencephalographicrecordingdevice.Anovelnon-integer ordermodelstructureisthenestablishedwithaso-calledconstant phase element, and a Nyquist-based graphical method is derived to identify the non-integer order. The study is completed with a recursive identification method for full parameter estimation in the model, and various applications on experimental data are presented, finally resulting in a fully identified non integer order high pass filter.
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Dates et versions

hal-01978762 , version 1 (11-01-2019)

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Gildas Besancon, Guillaume Jean-Paul Claude Becq, Alina Voda. Fractional order modelling and identification for a phantom EEG system. IEEE Transactions on Control Systems Technology, 2020, 28 (1), pp.130-138. ⟨10.1109/TCST.2019.2891621⟩. ⟨hal-01978762⟩
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