Abstract
Fetal monitoring may help with possible recognition of problems in the fetus. This research work focuses on the design of the Back-propagation Neural Network (BPNN) and Adaptive Linear Neural Network (ADALINE) to extract the Fetal Electrocardiogram (FECG) from the Abdominal ECG (AECG). FECG is extracted to assess the fetus well-being during the pregnancy period of a mother to overcome some existing difficulties regarding the fetal heart rate (FHR) monitoring system. Different sets of ECG signal has been tested to validate the algorithm performance. The accuracy of the QRS detection using the designed algorithm is 99%. This research work further made a comparison study between various methods' performance and accuracy and found that the developed algorithm gives the highest accuracy. This paper opens up a passage to biomedical scientists, researchers, and end users to advocate to extract the FECG signal from the AECG signal for FHR monitoring system by providing valuable information to help them for developing more dominant, flexible and resourceful applications.
Highlights
fetal heart rate (FHR) monitoring is a routine work for obtaining the significant information about the condition of a fetus during the pregnancy and labor period of a mother (HASAN et al, 2007)
To extract Fetal Electrocardiogram (FECG) from the Abdominal ECG (AECG) for the monitoring of FHR, the algorithm was developed in the previous sections
An efficient system of FECG Extraction for the monitoring of FHR during the pregnancy has been successfully developed in this research using Artificial Neural Network approach
Summary
FHR monitoring is a routine work for obtaining the significant information about the condition of a fetus during the pregnancy and labor period of a mother (HASAN et al, 2007). FHR variations observed during pregnancy and labors have commonly been used as indirect indications of fetal conditions. FHR monitoring can identify conditions, which may lead to fetal and/or maternal mortality or morbidity (HELGASON et al, 2011). An abnormal FHR or pattern may mean that the fetus is not getting enough oxygen or there are other problems (HASAN et al, 2009). FHR abnormalities are unpredictable and may occur at any time. Ambulatory monitoring has been proven a useful method with use of long-term monitoring of the FHR, where, the woman can maintain normal daily activities, work, and avoid unnecessary hospital stays
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