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- R Poli, S Cagnoni, and G Valli.
- Department of Electronic Engineering (DIE), University of Florence, Italy.
- IEEE Trans Biomed Eng. 1995 Nov 1; 42 (11): 1137-41.
AbstractThis 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.
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