Yayik, ApdullahKutlu, Yakup2024-09-182024-09-182014978-1-4799-4874-12165-0608https://hdl.handle.net/20.500.12483/1217222nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEYIn this study, in order to diagnose congestive heart failure (CHI) patients, second-order difference map (SDOP) features obtained from raw electrocardiogram (EEG) data is used CHF and normal patients' electrocardiogram data which are distributed freely via internet, is analyzed By U-matrix presentation of Self-Organized Maps, distances between groups and clusters are examined 1x16 Axed SODP features of raw EEG data obtained from normal and CHF patients can successfully be classified using U-matrix presentation of SOM. As a classifier Neural Network based classifier is applied and %99.9 over all accuracy performance is reachedtrinfo:eu-repo/semantics/closedAccessSelf-Organized MapsCongestive Heart FailureConference Object5405432-s2.0-84903792821N/AWOS:000356351400114N/A