GENETIC DESIGN OF OPTIMUM LINEAR AND NONLINEAR QRS DETECTORS

This paper describes an approach to the design of optimum QRS detector s. We report on detectors including a linear or nonlinear polynomial f ilter, which enhances and rectifies the QRS complex, and a simple, ada ptive maxima detector. The parameters of the filter and the detector, and the samples to be processed are selected by a genetic algorithm wh ich minimizes the detection errors made on a set of reference ECG sign als. Three different architectures and the experimental results achiev ed on the MIT-BIH Arrhythmia Database are described.