1. Comparison between Fetal Heart Rate Standard Parameters and Complexity Indexes for the Identification of Severe Intrauterine Growth Restriction
- Author
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Giovanni Magenes, Manuela Ferrario, and Maria G. Signorini
- Subjects
medicine.medical_specialty ,Computer science ,Information Theory ,Intrauterine growth restriction ,Gestational Age ,Health Informatics ,Approximate entropy ,Time ,Health Information Management ,Internal medicine ,medicine ,Humans ,Lempel-Ziv complexity ,reproductive and urinary physiology ,Advanced and Specialized Nursing ,Fetus ,Fetal Growth Retardation ,Signal Processing, Computer-Assisted ,Heart Rate, Fetal ,medicine.disease ,Surgery ,Sample entropy ,Perinatal morbidity ,Fetal heart rate ,embryonic structures ,Cardiology ,Neural Networks, Computer ,Algorithms ,Biomarkers - Abstract
Summary 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.
- Published
- 2007
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