Parametric Modeling of Some Biosignals Using Optimization Metaheuristics

This chapter describes advanced optimization techniques that can be used for dealing with non-linear parametric models to characterize the dynamics and/or the shape of some biosignals. The class of optimization techniques that will be covered encompasses Genetic and Particle Swarm Optimization family of optimization methods. Both methods belong to a specific optimization category called “metaheuristics”. Two specific examples will illustrate the use of these techniques. In the first example, Genetic Algorithms are used as an optimization technique used to model Brainstem Auditory Evoked Potentials (BAEPs). In the second example, the Particle Swarm Optimization Algorithms are used for curve fitting Event Related Potentials and the heart beat signal. As will be further discussed, metaheuristics can naturally be extended to various applications relevant to biosignal processing.