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Genetic design of optimum linear and nonlinear QRS detectors
Poli, R.; Cagnoni, S.; Valli, G.;
Biomedical Engineering, IEEE Transactions on
Volume 42,
Issue 11,
Nov. 1995
Page(s):1137
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1141
Abstract:
Describes an approach to the design of optimum QRS detectors. The authors 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
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