MULTIWAVE: a multiresolution wavelet-based ECG data compression algorithm

Nitish V Thakor, Y. Sun, H. Rix, P. Caminal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationComputers in Cardiology
PublisherPubl by IEEE
Pages393-396
Number of pages4
ISBN (Print)0818654708
StatePublished - 1993
EventProceedings of the 1993 Conference on Computers in Cardiology - London, UK
Duration: Sep 5 1993Sep 8 1993

Other

OtherProceedings of the 1993 Conference on Computers in Cardiology
CityLondon, UK
Period9/5/939/8/93

Fingerprint

Data Compression
Data compression
Electrocardiography
Supraventricular Tachycardia
Ventricular Tachycardia
Convolution
Decomposition

ASJC Scopus subject areas

  • Software
  • Cardiology and Cardiovascular Medicine

Cite this

Thakor, N. V., Sun, Y., Rix, H., & Caminal, P. (1993). MULTIWAVE: a multiresolution wavelet-based ECG data compression algorithm. In Computers in Cardiology (pp. 393-396). Publ by IEEE.

MULTIWAVE : a multiresolution wavelet-based ECG data compression algorithm. / Thakor, Nitish V; Sun, Y.; Rix, H.; Caminal, P.

Computers in Cardiology. Publ by IEEE, 1993. p. 393-396.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Thakor, NV, Sun, Y, Rix, H & Caminal, P 1993, MULTIWAVE: a multiresolution wavelet-based ECG data compression algorithm. in Computers in Cardiology. Publ by IEEE, pp. 393-396, Proceedings of the 1993 Conference on Computers in Cardiology, London, UK, 9/5/93.
Thakor NV, Sun Y, Rix H, Caminal P. MULTIWAVE: a multiresolution wavelet-based ECG data compression algorithm. In Computers in Cardiology. Publ by IEEE. 1993. p. 393-396
Thakor, Nitish V ; Sun, Y. ; Rix, H. ; Caminal, P. / MULTIWAVE : a multiresolution wavelet-based ECG data compression algorithm. Computers in Cardiology. Publ by IEEE, 1993. pp. 393-396
@inproceedings{756bd0f5277742fdb213e8f1d0c638f7,
title = "MULTIWAVE: a multiresolution wavelet-based ECG data compression algorithm",
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.",
author = "Thakor, {Nitish V} and Y. Sun and H. Rix and P. Caminal",
year = "1993",
language = "English (US)",
isbn = "0818654708",
pages = "393--396",
booktitle = "Computers in Cardiology",
publisher = "Publ by IEEE",

}

TY - GEN

T1 - MULTIWAVE

T2 - a multiresolution wavelet-based ECG data compression algorithm

AU - Thakor, Nitish V

AU - Sun, Y.

AU - Rix, H.

AU - Caminal, P.

PY - 1993

Y1 - 1993

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0027807581&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027807581&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0027807581

SN - 0818654708

SP - 393

EP - 396

BT - Computers in Cardiology

PB - Publ by IEEE

ER -