An implementation of the wavelet transform for ECG analysis

Author

Gamo, C. ; Gaydecki, P. ; Zaidi, A. ; Fitzpatrick, A.

Author_Institution

Dept. of Instrum. & Anal. Sci., Univ. of Manchester Inst. of Sci. & Technol., UK

fYear

2000

fDate

2000

Firstpage

32

Lastpage

40

Abstract

An approach to the wavelet transform has been developed using LabView, a block diagram programming language, to detect the different waves of the ECG for the detection of the ECG characteristic waves. This method decomposes the ECG originally into 5 transformed signals at 5 different scales and makes use of scales 2 to 4 of the wavelet transform. In this method only scales 2 to 4 are used to characterise the ECG signal as these prove to give optimum results. A derived criterion is applied on a combination of such scales to determine the location of the peaks of the QRST waves, in addition to the start (onset) of the Q wave and end (offset) of the T wave for the posterior determination of the QT interval. The method has been tested against the well known MIT-BLH database and a QRS sensitivity above 99.95% has been achieved for some records

Keywords

electrocardiography; medical signal processing; signal detection; visual languages; wavelet transforms; ECG analysis; ECG characteristic wave detection; ECG signal; LabView; MIT-BLH database; Q wave; QRS sensitivity; QRST waves; QT interval; T wave; block diagram programming language; optimum results; posterior determination; transformed signals; wavelet transform;

fLanguage

English

Publisher

iet

Conference_Titel

Advances in Medical Signal and Information Processing, 2000. First International Conference on (IEE Conf. Publ. No. 476)

Conference_Location

Bristol

ISSN

0537-9989

Print_ISBN

0-85296-728-4

Type

conf

DOI

10.1049/cp:20000314

Filename

889948