MULTIWAVE: a multiresolution wavelet-based ECG data compression algorithm

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

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

2 Scopus citations


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
Number of pages4
ISBN (Print)0818654708
StatePublished - Dec 1 1993
EventProceedings of the 1993 Conference on Computers in Cardiology - London, UK
Duration: Sep 5 1993Sep 8 1993

Publication series

NameComputers in Cardiology
ISSN (Print)0276-6574


OtherProceedings of the 1993 Conference on Computers in Cardiology
CityLondon, UK

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine


Dive into the research topics of 'MULTIWAVE: a multiresolution wavelet-based ECG data compression algorithm'. Together they form a unique fingerprint.

Cite this