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Author/Affiliation: Pedro Freddy Huamaní NavarreteOpen AccessArticle
8 Pages, 1,251 KB 
Application of Fractal Algorithms to Identify Cardiovascular Diseases in ECG Signals
Abstract:
The aim of this article was the identification of cardiovascular diseases, after applying Katz and Higuchi fractal algorithms on 4 databases of ECG signals downloaded from the Physionet website: heart failure (HF), hypertension (H), ischemic heart disease (IHD) and normal sinus rhythm (NSR). For this purpose, initially the ECG signals passed through a filtering stage…
Read More(This article belongs to Section Biomedical Engineering (EBI))