Name
Title | ||
|---|---|---|
Compressive sensing based the multi-channel ECG reconstruction in wireless body sensor networks. |
Abstract | ||
|---|---|---|
•A CS-based method with low-rank constraint is proposed for effective data acquisition and signal reconstruction in the energy-constrained WBSN.•An optimization formula consisting of two constraints is defined; the sparsity constraint and the low-rank constraint.•A robust and efficient ADMM-based method is developed to efficiently reconstruct the multichannel ECG signals.•Numerical experiments verify that the proposed algorithm achieves superior performance as compared to the latest CS-based recovery methods. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.bspc.2020.102047 | Biomedical Signal Processing and Control |
Keywords | DocType | Volume |
Compressed sensing (CS),Wireless body sensor networks,Multi-channel ECG signals | Journal | 61 |
ISSN | Citations | PageRank |
1746-8094 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Javad Afshar Jahanshahi | 1 | 0 | 0.34 |
| Habibollah Danyali | 2 | 49 | 11.07 |
| Mohammad Sadegh Helfroush | 3 | 70 | 11.30 |