Yayik, ApdullahKutlu, Yakup2024-09-192024-09-192012978-146730056-8https://doi.org/10.1109/SIU.2012.6204457https://hdl.handle.net/20.500.12483/141012012 20th Signal Processing and Communications Applications Conference, SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye, Mugla -- 90786In this study, in order to diagnose congestive heart failure patients (CHF), Poincare map obtained from raw ECG data is used. CHF and normal ECG data, which are distributed freely via internet, are analyzed. Poincare map is divided into equal rectangle cells and points in all of the cells are determined. These values are used for knn (k-nearest neighbour) classification. At the result of this study, it is considered that CHF patients and normal people can be separated each other using features obtained from Poincare map of Raw ECG record. © 2012 IEEE.trinfo:eu-repo/semantics/closedAccessCHFclassificationEKGk-nnPoincareConference Object10.1109/SIU.2012.62044572-s2.0-84863469993N/A