Multiwave: a wavelet-based ECG data compression algorithms

Research output: Contribution to journalArticlepeer-review

38 Scopus citations


MultiWave data compression algorithm is based on the multiresolution wavelet technique for decomposing Electrocardiogram (ECG) signals into their coarse and successively more detailed components. At each successive resolution, or scale, the data are convolved with appropriate filters and then the alternate samples are discarded. The data compression rates and the percentage distortion levels at each resolution are obtained. The performance of the MultiWave data compression algorithm is shown to be superior to another algorithm.

Original languageEnglish (US)
Pages (from-to)1462-1469
Number of pages8
JournalIEICE Transactions on Information and Systems
Issue number12
StatePublished - Dec 1 1993

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence


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

Cite this