Chang’s Fbm Analysis Method Applied to the Characterization of Fetal Heart Rate Signals
نویسندگان
چکیده
Fetal Heart Rate (FHR) signals exhibit a random-like variability dependent on the fetus health. Previous studies explain this variability with the presence of power law correlations among neighbor samples, suggesting a fractal structure in the FHR. In this paper we use an efficient algorithm presented in [1], called Chang’s method, to analyze the fractal behavior of FHR sequences. In our study, FHR signals with different levels of the clinically defined Short Term Variability (STV) are analyzed. Using a dataset of 46 FHR signals we show that it is possible to discriminate FHR signals according to their variability using two parameters estimated with Chang’s method. These results are interesting both for FHR diagnostic and simulation purposes.
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