Scholarlink

A cardiotocograph, or electronic fetal monitor (EFM), is used to continuously measure uterine contractions (UC) and fetal heart rate (FHR) during the third trimester and labor. Monitoring FHR and UC signals is essential for identifying potential fetal distress. Despite advancements in fetal monitoring research, existing Cardiotocography databases often lack critical features, such as accelerations, decelerations, baseline variability, average FHR, UC data, and pathological indicators necessary for comprehensive fetal assessment. Addressing these gaps, we introduce the ‘WeeCare’ database, designed to support fetal distress analysis by including key features: (i) FHR, (ii) baseline variability, (iii) UC, (iv) UC time, (v) accelerations, (vi) decelerations, and (vii) pathological indicators within CTG signals. The dataset comprises 250 real-time signals, each lasting up to 30 min, collected from reputable scan centers. Every signal is validated by experienced gynecologists using the CTG Analyzer to provide reliable ground truth data. This database offers a valuable resource for researchers focused on automating the analysis of fetal pathological conditions through clinical data interpretation.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

WeeCare: A Benchmark Database for the Analysis of Fetal Stress Condition from Cardiotocography Signals

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • S. M. Seeni Mohamed Aliar Maraikkayar,
  • R. Tamilselvi,
  • M. Parisa Beham,
  • R. Murugan

摘要

A cardiotocograph, or electronic fetal monitor (EFM), is used to continuously measure uterine contractions (UC) and fetal heart rate (FHR) during the third trimester and labor. Monitoring FHR and UC signals is essential for identifying potential fetal distress. Despite advancements in fetal monitoring research, existing Cardiotocography databases often lack critical features, such as accelerations, decelerations, baseline variability, average FHR, UC data, and pathological indicators necessary for comprehensive fetal assessment. Addressing these gaps, we introduce the ‘WeeCare’ database, designed to support fetal distress analysis by including key features: (i) FHR, (ii) baseline variability, (iii) UC, (iv) UC time, (v) accelerations, (vi) decelerations, and (vii) pathological indicators within CTG signals. The dataset comprises 250 real-time signals, each lasting up to 30 min, collected from reputable scan centers. Every signal is validated by experienced gynecologists using the CTG Analyzer to provide reliable ground truth data. This database offers a valuable resource for researchers focused on automating the analysis of fetal pathological conditions through clinical data interpretation.