Identification of QRS complexes in 12-lead electrocardiogram

Authors:
S. S. Mehta;N. S. Lingayat
Affiliations:
Department of Electrical Engineering, J. N. Vyas University, MBM Engineering College, Jodhpur 342 001, Rajasthan, India;Department of Electrical Engineering, J. N. Vyas University, MBM Engineering College, Jodhpur 342 001, Rajasthan, India
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

Citing 8
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Abstract

A method for the detection of QRS complexes in 12-lead electrocardiogram (ECG) using support vector machine (SVM) is presented in this paper. Digital filtering techniques are used to remove base line wander and power line interference. SVM is used for the identification of QRS complexes in the processed signal. The performance of the algorithm is evaluated against the standard CSE ECG database. The results indicated that the algorithm achieved 99.75% of the identification rate. The percentage of false positive and false negative is 1.61% and 0.26%, respectively. The performance of the proposed algorithm is found to be better than published results of the other QRS detectors tested on the same database. The proposed method functions reliably even under the conditions of poor signal quality in the ECG data.