Pregnancy monitoring is the most important challenge during gestation period. Some early deliveries cause mortality and morbidity of the new born babies. Electrohysterogram is the most promising method for monitoring the uterine contraction thus the physiological wellbeing of the foetal and the mother. As it is a non-invasive method there are no side effects and its accuracy for early diagnosis is more. There are different numbers of electrodes used to collect the signals from the mother's abdomen by placing electrodes on the abdomen. Through this paper we are focusing on different researches used for pregnancy monitoring using 16 electrode database. Based on the studies this paper provides different steps in electrohysterogram data processing such as preprocessing, feature extraction, classifiers for classifying pregnancy and labour contraction.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.