Identification of first-order hammerstein systems and its application to a simple neural mass model for parkinson's disease treatment

摘要

Motivated by the biomedical application of deep brain stimulation (DBS) for the treatment of Parkinson's disease, this work proposes an identification scheme of a first-order Hammerstein system with a strongly increasing nonlinear static function and its application to identify a simple neural mass model used in the DBS. The purpose is to make easier the choice of the stimulation parameters such as intensity, duration and frequency in the Parkinson's disease treatment for a particular patient.