Title :
Study of fetal autonomous nervous system´s response by means of FHRV frequency analysis
Author :
Romano, M. ; Cesarelli, M. ; Bifulco, P. ; Sansone, M. ; Bracale, M.
Author_Institution :
Dept. of Electron. Eng. & Telecommun., Naples Univ., Italy
Abstract :
Since the cardiotocographic (CTG) monitoring of fetal health, during pregnancy and labour, was introduced, perinatal mortality and morbidity are very reduced. However, inter-observer and intra-observer variability in the interpretation of CTGs requires new researches to improve monitoring efficacy. This study aims to extract frequency parameters for physicians decision support. The Variability of the Fetal Heart Rate around its baseline could be a base for a more objective analysis and for a better knowledge of ANS reactions.
Keywords :
autoregressive processes; biomedical ultrasonics; cardiology; medical signal processing; obstetrics; patient monitoring; signal sampling; spectral analysis; time-frequency analysis; automatic classifier; autonomous nervous system; autoregressive model; cardiotocograph sampling; cardiotocographic monitoring; decision support; discrete-time signal; fetal heart rate spectrum; frequency parameters; monitoring efficacy; time-frequency analysis; ultrasound Doppler probe; Acceleration; Biomedical engineering; Biomedical monitoring; Cardiography; Fetal heart rate; Frequency; Interpolation; Nervous system; Pregnancy; Sampling methods;
Conference_Titel :
Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on
Print_ISBN :
0-7803-7579-3
DOI :
10.1109/CNE.2003.1196845