Simultaneous 12-lead QRS detection by K-means clustering algorithm

Author

Nagal, Devendra ; Sharma, Shantanu

Author_Institution

CLGIET, Sumerpur, India

fYear

2014

fDate

9-11 May 2014

Firstpage

1

Lastpage

4

Abstract

An electrocardiogram (ECG) is a recording of the electrical activity of the heart. Analysis of ECG data can give important information about the health and condition of the heart and can help physicians to diagnose cardiac arrhythmias, acute myocardial infarctions, conduction abnormalities, and many other heart diseases. ECGs can also be used to determine heart rate by calculating the time between successive QRS complexes. This paper presents an application of K-means algorithm applied on 25 subjects of CSE data set-3 for the detection of QRS complexes in the simultaneously recorded 12 lead ECG. The detection rate of 99.89% is achieved.

Keywords

bioelectric potentials; cardiovascular system; diseases; electrocardiography; medical signal detection; medical signal processing; ECG data analysis; K-means clustering algorithm; acute myocardial infarction diagnosis; cardiac arrhythmia diagnosis; conduction abnormality diagnosis; electrocardiogram; heart electrical activity recording; heart rate; twelve-lead QRS complex detection; Detectors; Myocardium; K-means; QRS detection; simultaneous recorded 12 lead ECG;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Advances and Innovations in Engineering (ICRAIE), 2014

Conference_Location

Jaipur

Print_ISBN

978-1-4799-4041-7

Type

conf

DOI

10.1109/ICRAIE.2014.6909244

Filename

6909244