An approach to QRS complex detection using mathematical morphology

Author

Trahanias, P.E.

Author_Institution

Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada

Volume

40

Issue

2

fYear

1993

Firstpage

201

Lastpage

205

Abstract

An approach to QRS complex detection based on mathematical morphology is presented. QRS complexes are detected by the application of a simple morphological operator. This operator works as a peak-valley extractor and it is controlled by the shape of the structuring element. A set (horizontal line segment) is used as a structuring element, resulting in very fast execution times. The accuracy of this approach has been tested using a standard ECG library; a sensitivity of 99.38% and a positive predictivity of 99.48% have been achieved.

Keywords

electrocardiography; mathematical morphology; medical signal processing; QRS complex detection; horizontal line segment; mathematical morphology; peak-valley extractor; standard ECG library; structuring element shape; Communication system control; Detectors; Electrocardiography; Hidden Markov models; Libraries; Maximum likelihood detection; Morphological operations; Morphology; Shape control; Testing; Decision Support Techniques; Electrocardiography; Evaluation Studies as Topic; Heart Diseases; Humans; Image Processing, Computer-Assisted; Mathematics; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.212060

Filename

212060