Name
Abstract | ||
|---|---|---|
Fetal electrocardiogram (fECG) monitoring yields important information about the fetus condition during pregnancy and it consists in collecting electrical signals by some sensors on the body of the mother. In literature, Independent Component Analysis (ICA) has been exploited to extract fECG. Wavelet-ICA (WICA), a technique that merges Wavelet decomposition and INFOMAX algorithm for Independent Component Analysis, was recently proposed to enhance fetal ECG extraction. In this paper, we propose to enhance WICA introducing MERMAID as the algorithm to perform independent component analysis because it has shown to outperform INFOMAX and the other standard ICA algorithms. |
Year | Venue | Keywords |
|---|---|---|
2008 | WIRN | multiresolution minimization,yields important information,electrical signal,infomax algorithm,mutual information,fetal electrocardiogram,independent component analysis,merges wavelet decomposition,fetus condition,fetal-ecg extraction,fetal ecg extraction,standard ica algorithm,wavelet transform |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabio La Foresta | 1 | 93 | 15.69 |
| Nadia Mammone | 2 | 136 | 19.69 |
| Giuseppina Inuso | 3 | 14 | 3.93 |
| Francesco C. Morabito | 4 | 17 | 5.46 |
| Andrea Azzerboni | 5 | 0 | 0.34 |