Enhancing Fetal Electrocardiogram Signal Extraction Accuracy through a CycleGAN Utilizing Combined CNN-BiLSTM Architecture. [PDF]
Yang Y, Chen L, Wu S.
europepmc +1 more source
Enhancement of low-quality fetal electrocardiogram based on time-sequenced adaptive filtering. [PDF]
Fotiadou E +3 more
europepmc +1 more source
[Fetal electrocardiogram signal extraction based on multi-scale residual shrinkage U-Net]. [PDF]
Wang Q, Zhang Z, Song D, Wang Y, Song L.
europepmc +1 more source
Editorial: Recent Advances in Doppler Signal Processing and Modeling Techniques for Fetal Monitoring
Ahsan H. Khandoker +2 more
doaj +1 more source
Machine learning techniques in electrocardiogram diagnosis
Advances in the area of computer sciences algorithms and artificial intelligence-based machine learning techniques have greatly enhanced the electrocardiogram (ECG) signal classification and contributed to correct diagnosis.
Salem, A.B.M. +2 more
core
Blind separation of maternal and fetal ECG's using any number of channels
Blumensath, T., Davies, M.E.
core +2 more sources
Energy and Quality Evaluation for Compressive Sensing of Fetal Electrocardiogram Signals. [PDF]
Da Poian G +3 more
europepmc +1 more source
A Comprehensive Evaluation of the Predictive Abilities of Fetal Electrocardiogram-Derived Parameters during Labor in Newborn Acidemia: Our Institutional Experience. [PDF]
Tian N, Zhang W.
europepmc +1 more source
Validation of beat by beat fetal heart signals acquired from four-channel fetal phonocardiogram with fetal electrocardiogram in healthy late pregnancy. [PDF]
Khandoker A +3 more
europepmc +1 more source
A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity. [PDF]
Li Y, Nie W, Ye F, Li A.
europepmc +1 more source

