Analysis of nonlinear signals based on estimating minimal attractor embedding dimension

The theoretical ground of a local-topological method for defining minimal attractor embedding dimension on the basis of matrix decomposition for different types of dynamical systems is proposed. The computer confirmation of the theoretical results is presented. The investigation of digital electrocardiogram signals using local-topological analysis of chaotic attractor trajectories is carried out.