Abstract | ||
---|---|---|
Most of the recent electrocardiogram (ECG) compression approaches developed with the wavelet transform are implemented using the discrete wavelet transform. Conversely, wavelet packets (WP) are not extensively used, although they are an adaptive decomposition for representing signals. In this paper, we present a thresholding-based method to encode ECG signals using WP. The design of the compressor... |
Year | DOI | Venue |
---|---|---|
2007 | 10.1109/TBME.2006.889176 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Wavelet packets,Electrocardiography,Discrete wavelet transforms,Filter bank,Wavelet transforms,Partitioning algorithms,Chromium,Computational complexity,Signal design,Clinical diagnosis | Computer vision,Computer science,Second-generation wavelet transform,Electronic engineering,Discrete wavelet transform,Sub-band coding,Artificial intelligence,Stationary wavelet transform,Wavelet packet decomposition,Signal reconstruction,Wavelet,Wavelet transform | Journal |
Volume | Issue | ISSN |
54 | 4 | 0018-9294 |
Citations | PageRank | References |
11 | 0.81 | 6 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Manuel Blanco-Velasco | 1 | 314 | 30.57 |
Fernando Cruz-Roldán | 2 | 12 | 1.54 |
Juan Ignacio Godino-Llorente | 3 | 182 | 30.35 |
Kenneth E. Barner | 4 | 812 | 70.19 |