DocumentCode
2751537
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
Volume
4
fYear
2005
fDate
July 31 2005-Aug. 4 2005
Firstpage
2400
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Conference_Location
Montreal, Que.
Print_ISBN
0-7803-9048-2
Type
conf
DOI
10.1109/IJCNN.2005.1556278
Filename
1556278
Link To Document