title: Fetal heart rate baseline estimation with analysis of fetal movement signal.
abstract: In order to assign appropriate baseline estimation algorithms to different fetal heart rate tracing, a method to evaluate the fetal heart rate (FHR) baseline combining with the fetal movement information was proposed. Fetal actography and tocography were used to extract the fetal movement information. The results showed that the combined method, where the fetal movement detection result was the union of results of actography and tocography, achieved a better performance with the highest sensitivity and an acceptable positive predictive value (PPV). Furthermore, the mean absolute errors (MAEs) of basal FHR values between the two algorithms and the expert were calculated with respect to the duration coefficient of fetal movement. The results showed that the algorithm using empirical mode decomposition (EMD) and Kohonen neural network (KNN) had lower MAEs than a traditional linear baseline estimation algorithm as the duration coefficient increased. However, if the duration coefficient is below 0.2, the errors may be tolerant for the FHR baseline estimation by a linear baseline estimation algorithm, which indicates that different algorithms may be selected for FHR baseline estimation based on different duration coefficients of fetal movement.
authors.affiliation: Department of Electronic Engineering, Jinan University, Guangzhou 510632, China.
authors.forename: Yaosheng
authors.initials: Y
authors.lastname: Lu
authors.affiliation: Department of Electronic Engineering, Jinan University, Guangzhou 510632, China.
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Li
authors.affiliation: Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, USA.
authors.forename: Shouyi
authors.initials: S
authors.lastname: Wei
authors.affiliation: Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China.
authors.forename: Xiaolei
authors.initials: X
authors.lastname: Liu
mesh_terms: D056044:Actigraphy / Q000379:methods*; D000465:Algorithms; D005260:Female; D006340:Heart Rate, Fetal / Q000502:physiology*; D006801:Humans; D009068:Movement / Q000502:physiology*; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated / Q000379:methods*; D011296:Prenatal Diagnosis / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D018590:Uterine Monitoring / Q000379:methods*
keywords: Fetal heart rate; Ostu method; baseline estimation; fetal movement