Name
Abstract | ||
|---|---|---|
Fetal electrocardiogram (fECG) monitoring is a technique for obtaining important information about the condition of the fetus during pregnancy and labour by measuring electrical signals generated by the fetal heart as measured from multi-channel potential recordings on the mother body surface. It is shown in this paper that the fetal ECG can be reconstructed by means of higher order statistical tools exploiting ECG non-stationarity associated with post-denoising with wavelets. The method is illustrated on real fetal ECG data. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ISSPA.2003.1224817 | SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 2, PROCEEDINGS |
Keywords | Field | DocType |
fetus,data mining,signal generators,obstetrics,independent component analysis,wavelet transforms,noise reduction | Computer vision,Signal,Pattern recognition,Computer science,Independent component analysis,Artificial intelligence,Fetal electrocardiogram,Electrocardiography,Wavelet,Wavelet denoising,Wavelet transform | Conference |
Citations | PageRank | References |
19 | 1.69 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| V. Vigneron | 1 | 43 | 10.23 |
| Anisoara Paraschiv-Ionescu | 2 | 216 | 30.36 |
| A. Azancor | 3 | 19 | 1.69 |
| Christian Jutten | 4 | 450 | 39.98 |
| O. Sibony | 5 | 19 | 1.69 |