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Updated: Jul 16, 2026
Fetal Echocardiography and Pulsed-wave Doppler Ultrasound in a Rabbit Model of Intrauterine Growth Restriction
Published on: June 29, 2013
Comparison between fetal heart rate standard parameters and complexity indexes for the identification of severe
M Ferrario1, M G Signorini, G Magenes
1Dipartimento di Bioingegneria, Politecnico di Milano, Milano, Italy. manuela.ferrario@biomed.polimi.it
Insights
This study introduces Lempel Ziv complexity to analyze fetal heart rate signals for identifying intrauterine growth restriction (IUGR). LZ complexity effectively distinguishes severe IUGR fetuses from moderate IUGR and healthy ones.
Area of Science:
- Perinatal medicine
- Biomedical signal processing
- Fetal physiology
Background:
- Intrauterine growth restriction (IUGR) poses risks of fetal hypoxia, increasing perinatal morbidity and mortality.
- Current clinical surveillance guidelines for IUGR lack reliable indexes.
- Improved methods are needed to identify fetuses at risk due to IUGR.
Purpose of the Study:
- To introduce novel parameters derived from fetal heart rate (FHR) signals.
- To identify severe intrauterine growth restricted (IUGR) fetuses using FHR signal analysis.
- To evaluate the effectiveness of new parameters in distinguishing IUGR severity.
Main Methods:
- Compared standard time and frequency domain FHR indexes with Lempel Ziv (LZ) complexity.
- Utilized approximate entropy and sample entropy as regularity estimators.
- Analyzed the robustness of extracted parameters from FHR signals.
Main Results:
- Lempel Ziv (LZ) complexity demonstrated stability as a parameter.
- LZ complexity significantly discriminated between severe IUGR (preterm delivery) and moderate IUGR (term delivery).
- The new parameter effectively differentiated IUGR fetuses from healthy controls.
Conclusions:
- LZ complexity is a robust and reliable parameter for FHR signal analysis.
- This method offers a promising tool for improved clinical surveillance of IUGR.
- Accurate identification of severe IUGR can potentially improve perinatal outcomes.
Objectives:
The intrauterine growth restriction (IUGR) is a pathological state: the fetus is at risk of hypoxia and this condition is associated with increased perinatal morbidity and mortality. However, evidence-based guidelines for clinical surveillance are poor and lack reliable indexes. This study introduces new procedures to extract parameters from the fetal heart rate signal in order to identify severe intrauterine growth restricted (IUGR) fetuses
Methods:
Standard parameters (time domain and frequency domain indexes) are compared to a new parameter, the Lempel Ziv complexity, and to two regularity estimators (approximate entropy and sample entropy). The paper analyzes the robustness of the indexes coming from the parameter extraction procedure.
Results And Conclusions:
The results show that the LZ complexity is a stable parameter and it is able to significantly discriminate the severe IUGR (preterm delivered) from moderate IUGR (at term delivered) and from healthy fetuses.
