ECG based Human identification using Logspace Grid Analysis of Second Order Difference Plot

Author

Altan, Gokhan ; Kutlu, Yakup

Author_Institution

Bilgisayar Muhendisligi Bolumu, Mustafa Kemal Univ. Hatay, Hatay, Turkey

fYear

2015

fDate

16-19 May 2015

Firstpage

1288

Lastpage

1291

Abstract

In this study, Second Order Difference Plot (SODP) features are used for ECG based human identification. SODP is a method that allows to determine the features with the statistical analysis of the situations obtained from distributions and the distribution of each of successive points on an unstable and linear signals. ECG records of 90 individuals in Physionet ECG-Id database are used in the study. These records are divided into segments with logarithmic grid, number of points in each segment was examined. Extracted features are classified using 2 Fold Cross Validation with kNN classifier, speed and performance of identification system were investigated. As a result, ECG based Human identification using Logspace Grid Analysis of SODP was performed in a very short time with 91.52% success.

Keywords

electrocardiography; feature extraction; medical signal detection; signal classification; statistical analysis; Physionet ECG-Id database; SODP; cross validation; human identification; kNN classifier; linear signals; logarithmic grid; logspace grid analysis; second order difference plot; statistical analysis; unstable signals; Biomedical engineering; Conferences; Electrocardiography; Feature extraction; Heart; Pattern recognition; Physics; ECG; PQRST complex; Pan-Tompkins; SODP; Second Order Difference Plot; identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2015 23th

Conference_Location

Malatya

Type

conf

DOI

10.1109/SIU.2015.7130074

Filename

7130074