Order and parameter identification for a non-integer-order model of an EEG system

Gildas Besancon (1) , Alina Voda (2) , Guillaume Jean-Paul Claude Becq (3, 4) , Mariana Mulinari Pinheiro Machado (2)

1 GIPSA-SYSCO - GIPSA - Systèmes non linéaires et complexité
2 GIPSA-SLR - GIPSA - Systèmes linéaires et robustesse
3 GIPSA-Services - GIPSA-Services
4 GIPSA-CICS - GIPSA - Communication Information and Complex Systems

This paper studies a fractional order model for the dynamics of an ElectroEncephaloGraphic(EEG) recording system. The data are collected from a home-made prototypeof ’phantom head’, and processed via a recursive identification method. This method is basedon a model structure derived from a Constant-Phase-Element approach of a former study. Theresults are validated via various criteria.

Mots clés: EEG modeling; recursive identification; non-integer order model

Domaines: Automatique / Robotique

Gildas Besancon, Alina Voda, Guillaume Jean-Paul Claude Becq, Mariana Mulinari Pinheiro Machado. Order and parameter identification for a non-integer-order model of an EEG system. SYSID 2018 - 18th IFAC Symposium on System Identification, Jul 2018, Stockholm, Sweden. ⟨10.1016/j.ifacol.2018.09.159⟩. ⟨hal-01977923⟩