Title :
Neural network based detection of fetal heart rate patterns
Author :
Warrick, Philip ; Hamilton, Emily ; Macieszczak, Maciej
Author_Institution :
Dept. of Biomed. Eng., McGill Univ., Montreal, Que., Canada
fDate :
July 31 2005-Aug. 4 2005
Abstract :
Automated detection of fetal heart rate (FHR) patterns can potentially improve intra-partum care by providing consistent and reliable measures that assist health-care professionals in their assessment of the state of the fetus. We use the combined tools of signal processing and neural networks to detect the FHR patterns of baseline, acceleration and deceleration. Comparison to previous results reported in the literature are provided.
Keywords :
cardiology; medical diagnostic computing; neural nets; obstetrics; pattern recognition; fetal heart rate patterns; fetus; intra-partum care; neural network based detection; Acceleration; Biological neural networks; Biomedical measurements; Brain injuries; Condition monitoring; Fetal heart rate; Fetus; Heart rate detection; Neural networks; Pediatrics;
Conference_Titel :
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-9048-2
DOI :
10.1109/IJCNN.2005.1556278
