Topographic analysis and diagnosis of congestive heart failure using second-order difference plot

Author

Yayik, A. ; Kutlu, Y.

Author_Institution

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

fYear

2014

fDate

23-25 April 2014

Firstpage

540

Lastpage

543

Abstract

In this study, in order to diagnose congestive heart failure (CHF) 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. 1×16 sixed 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 reached.

Keywords

data analysis; difference equations; diseases; electrocardiography; feature extraction; matrix algebra; medical signal processing; self-organising feature maps; signal classification; CHF diagnosis; ECG data analysis; SDOP features; SODP feature classification; SODP feature extraction; SOM; U-matrix presentation; cluster distance examination; congestive heart failure diagnosis; group distance examination; neural network based classifier; performance accuracy; raw electrocardiogram data; second-order difference map features; second-order difference plot; self-organized maps; topographic analysis; Conferences; DH-HEMTs; Electrocardiography; Heart; Medical diagnostic imaging; Signal processing; Congestive Heart Failure; Self-Organized Maps;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2014 22nd

Conference_Location

Trabzon

Type

conf

DOI

10.1109/SIU.2014.6830285

Filename

6830285