Name
Abstract | ||
|---|---|---|
An innovative electrocardiogram compression algorithm is presented in this paper. The proposed method is based on matrix completion, a new paradigm in signal processing that seeks to recover a low-rank matrix based on a small number of observations. The low-rank matrix is obtained via normalization of electrocardiogram records. Using matrix completion, the ECG data matrix is recovered from a few number of entries, thereby yielding high compression ratios comparable to those obtained by existing compression techniques. The proposed scheme offers a low-complexity encoder, good tolerance to quantization noise, and good quality reconstruction. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6090502 | EMBC |
Keywords | Field | DocType |
electrocardiogram compression algorithm,electrocardiography,ecg compression,signal processing,medical signal processing,low complexity encoder,signal reconstruction,matrix completion,quantization noise tolerance,compression algorithm,wavelet transform,noise,quantization noise,wavelet transforms,compression ratio,decoding | Signal processing,Matrix completion,Computer science,Matrix (mathematics),Electronic engineering,Compression ratio,Encoder,Quantization (signal processing),Data compression,Signal reconstruction | Conference |
Volume | ISSN | ISBN |
2011 | 1557-170X | 978-1-4244-4122-8 |
Citations | PageRank | References |
2 | 0.39 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luisa F. Polania | 1 | 131 | 9.54 |
| Rafael E Carrillo | 2 | 4 | 1.44 |
| Manuel Blanco-Velasco | 3 | 314 | 30.57 |
| Kenneth E Barner | 4 | 354 | 39.58 |