期刊
PHYSIOLOGICAL MEASUREMENT
卷 32, 期 8, 页码 1347-1360出版社
IOP PUBLISHING LTD
DOI: 10.1088/0967-3334/32/8/022
关键词
cardiotocography; fetal heart rate; feature selection; expert annotation
资金
- Ministry of Health Care [NT11124-6/2010]
- CTU in Prague [MSM 6840770012]
- Ministry of Education, Youth and Sports of the Czech Republic
Cardiotocography is the monitoring of fetal heart rate (FHR) and uterine contractions (TOCO), used routinely since the 1960s by obstetricians to detect fetal hypoxia. The evaluation of the FHR in clinical settings is based on an evaluation of macroscopic morphological features and so far has managed to avoid adopting any achievements from the HRV research field. In this work, most of the features utilized for FHR characterization, including FIGO, HRV, nonlinear, wavelet, and time and frequency domain features, are investigated and assessed based on their statistical significance in the task of distinguishing the FHR into three FIGO classes. We assess the features on a large data set (552 records) and unlike in other published papers we use three-class expert evaluation of the records instead of the pH values. We conclude the paper by presenting the best uncorrelated features and their individual rank of importance according to the meta-analysis of three different ranking methods. The number of accelerations and decelerations, interval index, as well as Lempel-Ziv complexity and Higuchi's fractal dimension are among the top five features.
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