MULTIWAVE: a multiresolution wavelet-based ECG data compression algorithm

Author

Thakor, NV ; Sun, Y. ; Rix, H. ; Caminal, P.

Author_Institution

Dept. of Biomed. Eng., Johns Hopkins Univ. Sch. of Med., Baltimore, MD, USA

fYear

1993

fDate

5-8 Sep 1993

Firstpage

393

Lastpage

396

Abstract

MULTIWAVE is a multiresolution wavelet-based algorithm for data compression of ECG signals. ECG signals are decomposed into coarse and fine components. Decomposition is carried out by a pyramidal algorithm that analyzes the signal at successive scales by convolution with an orthonormal set of filters, followed by decimation (discarding the alternate samples). Data compression rates of 2:1, 4:1, 8:1, and so on are obtained at each successive scale. Four records each of normal sinus rhythm (NSR), supraventricular tachycardia (SVT), and ventricular tachycardia (VT) are analyzed. The performance of the MULTIWAVE algorithm is found to be superior to that of the TURNING POINT algorithm at all compression rates for all ECG records

Keywords

data compression; electrocardiography; medical signal processing; wavelet transforms; ECG signals; MULTIWAVE; NSR; SVT; TURNING POINT algorithm; compression rates; decimation; multiresolution wavelet-based ECG data compression algorithm; normal sinus rhythm; orthonormal set; pyramidal algorithm; supraventricular tachycardia; ventricular tachycardia; Algorithm design and analysis; Data compression; Electrocardiography; Frequency; Rhythm; Signal analysis; Signal resolution; Turning; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1993, Proceedings.

Conference_Location

London

Print_ISBN

0-8186-5470-8

Type

conf

DOI

10.1109/CIC.1993.378421

Filename

378421