Resources

Fetal cardiac arrhythmias are defined as any irregular fetal cardiac rhythm or regular rhythm at a rate outside the reference range of 100 to 200 beat per minute (bpm). Arrhythmias are discovered in about 1% of fetuses with about 10% of these being …

The research material included in the Abdominal and Direct Fetal Electrocardiogram Database contains multichannel fetal electrocardiogram (FECG) recordings obtained from 5 different women in labor, between 38 and 41 weeks of gestation. The recording…

This project is developing a set of recordings of fetal scalp electrograms and uterine muscular activity, with beat-by-beat annotations of the fetal ECG, to support studies of fetal heart rate variability.

The Indian Institute of Science Fetal Heart Sound Database (IIScFHSDB) has 60 fetal phonocardiography (fPCG) recordings obtained from expecting mothers of age 18-27 years of age with gestation weeks 30-40. The recordings are made at St. John’s Hospi…

The Shiraz University (SU) fetal heart sounds database (SUFHSDB) contains fetal and maternal phonocardiogram (PCG) recordings from 109 pregnant women in single and twin pregnancies. The recordings were made at Hafez Hospital of Shiraz University of …

This data set is a series of synthetic fetal phonocardiographic signals (PCGs) relative to different fetal states and recording conditions.

The FECGSYNDB is a large database of simulated adult and non-invasive fetal ECG (NI-FECG) signals, which provides a robust resource that enables reproducible research in the field. The data is generated using the FECGSYN simulator (visit website).

The project collects a series of 26 fetal phonocardiographic (PCG) signals from different pregnant women during the last months of their singleton physiological pregnancies (gestational week between 31 and 40).

This database contains a series of 55 multichannel abdominal non-invasive fetal electrocardiogram (FECG) recordings, taken from a single subject between 21 to 40 weeks of pregnancy. The records have variable durations, and were taken weekly (two or …

The aim of this year's PhysioNet/Computing in Cardiology Challenge is to encourage development of accurate algorithms for locating QRS complexes and estimating the QT interval in noninvasive FECG signals.