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THE USAGE OF STATISTICAL FEATURES IN THE APPROXIMATION COMPONENTS OF WAVELET DECOMPOSITION FOR ECG CLASSIFICATION: A CASE STUDY FOR STANDING, WALKING AND SINGLE JUMP CONDITIONS
Mütevelli, Makbule Hilal; Ergin, Semih (Kırklareli Üniversitesi, 2018)The purpose of this study is to classifyelectrocardiogram (ECG) signals with a high accuracy rate. The ECG signals usedare obtained from the Physiobank archive. These signals are preprocessed toremove noise. Features with ...
