Automated ECG diagnosis of atrial flutter by means of wavelet transform

Author

Brohet, C. ; Derwael, C. ; Fesler, R.

Author_Institution

Med. Sch., Catholic Univ. of Louvain, Brussels, Belgium

fYear

1994

fDate

25-28 Sep 1994

Firstpage

773

Lastpage

776

Abstract

The authors report a new algorithm for the automated diagnosis of atrial flutter (AF) by computer ECG programs. It consists of applying the wavelet transform (WT) technique to the detection of atrial flutter waves in the inferior lead Y of the Frank orthogonal EGG. The algorithm was developed and tested on a learning group of 325 cases with 47% having AF. Its clinical usefulness was prospectively assessed on a testing group of 1344 patients with 1.8% having AF. The sensitivity in this testing group was 44% It was raised to 80% by including the diagnostic statement of “possible AF”, but at the same time the positive predictive value decreased from 84.6% to 66%. However, the specificity remained quite high: 99.2%. This WT procedure allowed the authors to improve the performance of the automated diagnosis of AF as compared with their previous experience

Keywords

electrocardiography; medical signal processing; wavelet transforms; Frank orthogonal ECG; atrial flutter; automated ECG diagnosis; clinical usefulness; computer ECG programs; diagnostic statement; inferior lead Y; learning group; testing group; Cardiology; Continuous wavelet transforms; Discrete wavelet transforms; Electrocardiography; Fourier transforms; Medical diagnostic imaging; Rhythm; Sonar detection; Testing; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1994

Conference_Location

Bethesda, MD

Print_ISBN

0-8186-6570-X

Type

conf

DOI

10.1109/CIC.1994.470071

Filename

470071