Diagnosis of congestive heart failure using poincare map plot

Author

Yayik, Apdullah ; Kutlu, Yakup

Author_Institution

Enformatik Anabilim Dali, Mustafa Kemal Univ., İskenderun, Turkey

fYear

2012

fDate

18-20 April 2012

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SIU.2012.6204457

Filename

6204457