3/10/2023 0 Comments Calibrated q xd decode codec crack![]() The best selected nonlinear features were: Lempel Ziv complexity, Sample entropy, and fractal dimension estimated by Higuchi method. The best classification results were achieved using a combination of conventional and nonlinear features with sensitivity of 73.4%, specificity of 76.3%, and F-measure of 71.9%. We have proven that the addition of nonlinear features improves accuracy of classification. The experiments were performed using a database of 217 FHR records with objective annotations, i.e. In this paper we evaluated conventional features and compared them to the nonlinear ones in the task of intrapartum FHR classification. ![]() Routine clinical evaluation of intrapartum FHR is based on macroscopic morphological features visible to the naked eye. ![]() Abstract: Fetal heart rate (FHR) is used to evaluate fetal well-being and enables clinicians to detect ongoing hypoxia during delivery. Combination of conventional and nonlinear features provides the best accuracy.The best nonlinear features are: Lempel Ziv complexity and Sample entropy.Addition of nonlinear features improves accuracy of classification.We used conventional and nonlinear features for the signal analysis.We analyzed fetal heart rate of normal and acidemic fetuses.
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