Application of Block-oriented System Identification to Modelling Paralysed Muscle Under Electrical Stimulation

Abstract

AbstractMost biomedical and biological systems have nonlinear dynamics [25, 27], which bring difficulties in modelling and identification. These systems are usually represented as a series of blocks, and each block stands for a linear or nonlinear subsystem. Among those block-oriented models, Wiener model, Hammerstein model and Wiener–Hammerstein model are very popular. The Wiener model is represented as a linear dynamics followed by a nonlinear static system, while the Hammerstein model is composed in the reversed order, and the Wiener–Hammerstein model is constructed as a nonlinear static system surrounded by two linear dynamics (see Figure 24.1). All those three type of models have been extensively researched, and many identification methods have been proposed (e.g. [2, 3, 4, 6, 11, 23, 31, 39, 40]). In this chapter, we use Wiener–Hammerstein system to model the paralysed muscle under electrical stimulation, and propose an effective identification method specifically for the proposed model.KeywordsSpinal Cord InjuryPeak ForceForce ResponseForce OutputFunctional Electrical StimulationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.