Genetic design of optimum linear and nonlinear QRS detectors.
Poli R, Cagnoni S, Valli G.
Department of Electronic Engineering (DIE), University of Florence, Italy.
This paper describes an approach to the design of optimum QRS detectors. We report on detectors including a linear or nonlinear polynomial filter, which enhances and rectifies the QRS complex, and a simple, adaptive maxima detector. The parameters of the filter and the detector, and the samples to be processed are selected by a genetic algorithm which minimizes the detection errors made on a set of reference ECG signals. Three different architectures and the experimental results achieved on the MIT-BIH Arrhythmia Database are described.
Publication Types:
PMID: 7498919 [PubMed - indexed for MEDLINE]