Name
Title | ||
|---|---|---|
Novel Bayesian vectorcardiographic loop alignment for improved monitoring of ECG and fetal movement. |
Abstract | ||
|---|---|---|
The continuous analysis of electrocardiographic (ECG) signals is complicated by morphological variability in the ECG due to movement of the heart. By aligning vectorcardiographic loops, movement-induced ECG variations can be partly corrected for. Existing methods for loop alignment can account for loop rotation, scaling, and time delays, but they lack the possibility to include a priori informatio... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TBME.2013.2238938 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Electrocardiography,Noise,Noise measurement,Probability distribution,Maximum likelihood estimation,Synchronization | Computer vision,Fetal movement,Computer science,A priori and a posteriori,Robustness (computer science),Electronic engineering,Signal classification,Artificial intelligence,Bayesian probability,For loop | Journal |
Volume | Issue | ISSN |
60 | 6 | 0018-9294 |
Citations | PageRank | References |
6 | 0.68 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rik Vullings | 1 | 89 | 16.25 |
| Mischi, M. | 2 | 125 | 33.30 |
| S G Oei | 3 | 31 | 5.00 |
| Jan W. M. Bergmans | 4 | 141 | 22.50 |