Design of Chaotic System Based Pacemaker on Field Programmable Analog Array Board

In this study, a chaotic system based pacemaker implementation was performed. Electrocardiography (ECG) signal simulation studies were carried out with the dynamical deterministic systems Gauss and Logistic map referenced model. In the field programmable analog array (FPAA), a simple artificial neural network model is used instead of complex numerical models of chaotic systems. In this process, a feedforward neural network structure is used. ECG dataset and the artificial neural network models are compared with the analysis of Lyapunov exponent and results are discussed.