ECG signal analysis for detection of cardiovascular abnormalities and ischemic episodes

Author

Sahoo, G.K. ; Ari, Samit ; Patra, Sarat Kumar

Author_Institution

ECE Dept., NIT Rourkela, Rourkela, India

fYear

2013

fDate

11-12 April 2013

Firstpage

1055

Lastpage

1059

Abstract

Electrocardiogram (ECG) is generally used for diagnosis of cardiovascular abnormalities and heart disorders. An efficient method for analyzing the ECG signal towards the detection of cardiovascular abnormalities and ischemic episodes follows mainly five stages: pre-processing, feature extraction,cardiac abnormality detection, beat classification and ischemic episode recognition.The detection of cardiovascular abnormalities like bradycardia and tachycardia is based on the calculation of heart rate(HR) from the extracted ECG features.The extracted ST-segment and T-wave features are used for detection of ischemic episodes.The ability of the method was tested on European ST-T database. The performance of ischemic episode detection shows 88.08% sensitivity (Se) and 92.42% positive predictive accuracy (PPA).

Keywords

cardiovascular system; diseases; electrocardiography; feature extraction; medical signal detection; medical signal processing; signal classification; ECG signal analysis; ST-segment; T-wave features; beat classification; bradycardia; cardiac abnormality detection; cardiovascular abnormalities detection; electrocardiogram; feature extraction; heart disorders; heart rate; ischemic episode recognition; ischemic episodes; predictive accuracy; tachycardia; Conferences; Databases; Electrocardiography; Europe; Feature extraction; Heart rate; ECG; Heart rate(HR); Ischemic episode detection; Pre-processing; QRS-complex; ST-segment deviation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information & Communication Technologies (ICT), 2013 IEEE Conference on

Conference_Location

JeJu Island

Print_ISBN

978-1-4673-5759-3

Type

conf

DOI

10.1109/CICT.2013.6558254

Filename

6558254