health life sciences medicine
The surface electrohysterogram (EHG) has emerged as a promising diagnostic tool for non-invasive automated preterm birth prediction. The existing automated preterm birth prediction methods rely on the use of uterine EHG records coming from spontaneous preterm and term deliveries, and are indifferent to term induced and cesarean deliveries. In order to enhance current publicly available pool of term EHG records, we developed a new EHG dataset containing 126 30-minute EHG records, recorded either early (23rd week), or later during pregnancy (31st week), of those pregnancies that were expected to end in spontaneous term delivery, but ended in induced or cesarean section delivery. The records were collected at the University Medical Center Ljubljana, Ljubljana, Slovenia. The dataset includes 38 and 43, early and later, induced; 11 and 8, early and later, cesarean; and 13 and 13, early and later, induced-cesarean records. This database enables better understanding of the underlying physiological mechanisms involved during pregnancies ending in induced and cesarean deliveries, and provides more robust and realistic assessment of the performance of automated preterm birth prediction.
Not updated
Open Data Commons Open Database License v1.0
https://doi.org/10.13026/zw34-n382
See all datasets managed by PhysioNet.
https://physionet.org/about/#contact_us
Induced Cesarean EHG DataSet (ICEHG DS): Electrohysterogram records of pregnancies ending in induced and cesarean delivery was accessed on DATE from https://registry.opendata.aws/icehg-ds.
arn:aws:s3:::physionet-open/icehg-ds/us-east-1aws s3 ls --no-sign-request s3://physionet-open/icehg-ds/