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.