Autoregressive spectral estimation of fetal breathing movement
| Autor: | K. Boddy, M.N. Ansourian, J.H. Dripps, G.J. Beattie |
|---|---|
| Rok vydání: | 1989 |
| Předmět: |
Respiratory rate
business.industry Movement (music) Speech recognition Respiration Spectrum Analysis digestive oral and skin physiology Biomedical Engineering Statistical model Pattern recognition Minimum-variance unbiased estimator Transducer Autoregressive model Autoregressive spectral estimation Humans Fetal breathing Artificial intelligence business Fetal Monitoring Algorithms Mathematics |
| Zdroj: | IEEE transactions on bio-medical engineering. 36(11) |
| ISSN: | 0018-9294 |
| Popis: | Fetal breathing movement (FBM) in utero may be an indicator of fetal health. This paper provides a second-by-second estimate of FBM rate. In the absence of a statistical model for the fetal breathing movement, block data structured autoregressive spectral estimation is used. The optimum tapered Burg algorithm provides a minimum variance breathing rate estimate from a short block of data. The data were recorded using a PVDF (PolyVinyliDeneFluoride) transducer which picks up maternal abdominal wall movements. A peak tracking algorithm is used to extract the fetal breathing rate. Results from these signals are presented in graphical form. Further analysis of the fetal breathing rate has revealed periodicities, similar to that observed in the fetal heart rate. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|