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Genetic Design of Optimum Linear and Non-linear QRS Detectors

By Address Dr, Riccardo Poli, Riccardo Poli, Riccardo Poli, Stefano Cagnoni, Stefano Cagnoni and Guido Valli and Guido Valli


This paper describes an approach to the design of optimum QRS detectors. We report on detectors including a linear or non-linear 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

Year: 1995
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