Subject | Biomedical Engineering |
Specific subject area | Biomedical signal processing, specifically digital cardiotocographic (CTG) recordings |
Type of data | MATLAB® data file (.mat) |
How data were acquired | Visual inspection by an expert gynecologist, supported by a dedicated software application. Instruments: CTG Analyzer, dedicated software application for the automatic analysis of digital CTG recordings (https://dx.doi.org/10.1109/EMBC.2017.8037391). |
Data format | Raw and derived |
Parameters for data collection | Annotations refer to a total of 552 CTG recordings, each composed by two simultaneously acquired signals: the fetal heart rate and the maternal tocogram (uterine activity). Annotations are based on the analysis of both signals and indicate starting and ending points of specific events such as bradycardia, tachycardia, accelerations, decelerations and uterine contractions. |
Description of data collection | This dataset contains the annotations of the digital CTG recordings constituting the “CTU-CHB intra-partum CTG database” available at Physionet (http://physionet.org). Annotations were visually identified by an expert gynecologist supported by CTG Analyzer, a dedicated software application (https://dx.doi.org/10.1109/EMBC.2017.8037391). |
Data source location | Raw CTG data (digital CTG recordings) were obtained from Physionet (https://physionet.org/content/ctu-uhb-ctgdb/1.0.0/). Derived CTG annotation data were obtained and are stored at the Cardiovascular Bioengineering Lab, Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy. |
Data accessibility | Raw CTG data are publicly available at the following Physionet link: https://physionet.org/content/ctu-uhb-ctgdb/1.0.0/. Derived CTG annotations are available with the article as supplementary material. |
Related research article | S. Romagnoli, A. Sbrollini, L. Burattini, I. Marcantoni, M. Morettini, L. Burattini, Digital cardiotocography: What is the optimal sampling frequency?, Biomed. Signal Process. Control. 51 (2019) 210–215. https://doi.org/10.1016/j.bspc.2019.02.016[1] |