Multiwave: A Wavelet-Based ECG Data Compression Algorithm

Abstract : MultiWave data compression algorithm is based on the multiresolution wavelet techniqu 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. This procedure results in a data compression rate that increased on a dyadic scale with successive wavelet resolutions. ECG signals recorded from patients with normal sinus rhythm, supraventricular tachycardia, and ventriular tachycardia are analyzed. 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 (the Turning Point algorithm) that also carries out data reduction on a dyadic scale.
Type de document :
Article dans une revue
IEICE Transactions on Information and Systems, Institute of Electronics, Information and Communication Engineers, 1993, E76-D (12), pp.1462-1469
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00544654
Contributeur : Hervé Rix <>
Soumis le : mercredi 8 décembre 2010 - 15:58:53
Dernière modification le : mercredi 8 décembre 2010 - 15:58:53

Identifiants

  • HAL Id : hal-00544654, version 1

Collections

Citation

Nitish V. Thakor, Sun Yi-Chun, Hervé Rix, Pere Caminal. Multiwave: A Wavelet-Based ECG Data Compression Algorithm. IEICE Transactions on Information and Systems, Institute of Electronics, Information and Communication Engineers, 1993, E76-D (12), pp.1462-1469. 〈hal-00544654〉

Partager

Métriques

Consultations de la notice

109