Reconstruction of Missing Samples in Antepartum and Intrapartum FHR Measurements Via Mini-Batch-Based Minimized Sparse Dictionary Learning

IEEE Journal of Biomedical and Health Informatics(2022)

引用 5|浏览13
暂无评分
摘要
Fetal Heart Rate (FHR), an important recording in Cardiotocography (CTG)-based fetal health status monitoring, is the only information that clinical obstetricians can directly obtain and use. A challenge, however, is that missing samples are very common in FHR due to various causes such as fetal movements and sensor malfunctions. The aim is the development of an inpainting tool which is suitable f...
更多
查看译文
关键词
Fetal heart rate,Machine learning,Dictionaries,Bioinformatics,Pregnancy,Monitoring,Inspection
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要