Detection of T-Waves in 12-Lead Electrocardiogram

Author

Mehta, S.S. ; Lingayat, N.S.

Author_Institution

J. N. V. Univ., Jodhpur

Volume

2

fYear

2007

fDate

13-15 Dec. 2007

Firstpage

512

Lastpage

516

Abstract

A new method for detection of T-waves in 12-lead Electrocardiogram (ECG) using Support Vector Machine (SVM) is presented in this paper. Digital filtering techniques are used to remove power line interference and base line wander present in the ECG signal. SVM is used as a classifier for the detection of T-waves. The performance of the algorithm is evaluated using 50, original simultaneously recorded 12-lead ECG records from the standard CSE ECG database. Significant detection rate of 91% is achieved. The performance of the algorithm compares favorably with other algorithms reported in literature.

Keywords

digital filters; electrocardiography; medical signal detection; support vector machines; 12-lead electrocardiogram; ECG; SVM; T-waves detection; base line wander; digital filtering; power line interference; support vector machine; Cardiac disease; Computational intelligence; Databases; Digital filters; Electrocardiography; Filtering; Heart; Interference; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on

Conference_Location

Sivakasi, Tamil Nadu

Print_ISBN

0-7695-3050-8

Type

conf

DOI

10.1109/ICCIMA.2007.25

Filename

4426750