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The purpose of this study is to evaluate the information content provided by the fluximetry information and the analysis of fetal heart rate (FHR) signals, obtained from cardiotocographic recordings, during prenatal monitoring, in a high risk population. The parameters assessed on FHR signals are divided in: (i) time domain parameters (ii) frequency domain parameters, and (iii) the complexity parameters:...
A crucial problem in fetal monitoring is the correct interpretation of biophysical measurements. An important question is therefore how to decide if fetal small dimensions are physiological or due to a pathological condition, such as intrauterine growth restriction (IUGR), a metabolic dysfunction which does not allow the fetus to achieve its genetically predetermined size. This study proposes to estimate...
This study proposes new indexes extracted from fetal heart rate signal in order to identify intrauterine growth restricted (IUGR) fetuses and separate them from healthy small for gestational age ones (SGA). Unfortunately evidence-based guidelines for clinical surveillance are poor and lack of reliable indexes. Therefore we proposed new parameters: the Lempel Ziv complexity (LZC) and the multiscale...
In this paper we deal with the problem of the interpretation of the fetal heart rate (FHR) signal. From literature is known that FHR contains both linear and non linear components. Starting from this consideration we analyzed FHR as a fractal time series and we evaluated its self similarity behavior using the Hurst's coefficient (H). We first evaluated the stationarity of FHR time series and then...
In this paper we deal with the problem of the interpretation of the fetal heart rate (FHR) signal. From literature is known that FHR contains both linear and non linear components. Starting from this consideration we analyzed FHR as a fractal time series and we evaluated its self similarity behavior using the Hurst's coefficient (H). We first evaluated the stationarity of FHR time series and then...
Monitoring of fetal conditions is a very important step to assure a healthy newborn state. A special interest is reserved to Intrauterine Growth Restricted (IUGR) fetuses in the very preterm period, when the interpretation of fetal examinations is often very difficult. In order to study the fetal heart rate complexity we have introduced the Lempel-Ziv (LZ) complexity parameter as a global index estimating...
This work aimed at realizing an automatic system for diagnosing fetal sufferance through advanced classification methods applied to reliable indexes extracted from fetal heart rate (FHR) recordings. We selected a set of FHR recordings from a database of 909 exams, which were supplied with the diagnosis at the delivery. The analysis was based on both classical parameters taken from the obstetrical...
The paper describes a preliminary analysis of fetal heart rate parameters and echographic measurements performed in a population of about 60 fetuses including normal and intra uterine growth restricted cases. The objective is to improve the early detection of fetal sufferance conditions by measuring a multiparametric set including time and frequency domain parameters, complexity indexes and biometric...
The complex structure of the heart rate variability signal (HRV) has been widely studied in order to identify the "complex" nature of its control mechanisms. By adopting methods based on the reconstruction of the HRV time series, in an embedding space, the fractal dimension and the Lyapunov exponents can be computed. These estimations must be associated to a determinism test based on surrogate...
The present work is concerned with the automatic identification of fetal sufferance in intrauterine growth retarded (IUGR) fetuses, based on a multiparametric analysis of cardiotocographic recordings feeding a neural classifier. As classification tool, we propose a SVM (support vector machine), which receives the set of linear and nonlinear parameters extracted from the fetal heart rate signal (FHR)...
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