Title :
Diagnosis of congestive heart failure using poincare map plot
Author :
Yayik, Apdullah ; Kutlu, Yakup
Author_Institution :
Enformatik Anabilim Dali, Mustafa Kemal Univ., İskenderun, Turkey
Abstract :
In 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.
Keywords :
electrocardiography; medical diagnostic computing; patient diagnosis; pattern classification; CHF; Internet; Poincare map plot; congestive heart failure diagnosis; congestive heart failure patient diagnosis; equal rectangle cells; k-nearest neighbour classification; normal ECG data; raw ECG record; Computers; Databases; Electrocardiography; Heart; Internet; Medical diagnostic imaging; CHF; EKG; Poincare; classification; k-nn;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2012 20th
Conference_Location :
Mugla
Print_ISBN :
978-1-4673-0055-1
Electronic_ISBN :
978-1-4673-0054-4
DOI :
10.1109/SIU.2012.6204457
