Management of Major Postpartum Haemorrhage by using Zigbee protocol - A Review
S.V. Ruphitha, V. D. Ambeth Kumar
Abstract
Around the world, nearly 24% of deaths occur due to postpartum haemorrhage. Postpartum haemorrhage is the leading cause of maternal mortality. Postpartum haemorrhage is heavy bleeding after the birth of baby. Losing lots of blood (i.e.) above 500 ml can cause a severe drop in blood pressure. It may lead to suffer and die if not treated well. Currently, there are no proven intersections that reduce the risk of postpartum haemorrhage. Antenatal practices help in identifying the risk factors and modern technology is used to overcome the risk. Still, morbidity rate and the mortality cause arise due to the unpredicted and unexpected cause. It is very difficult to predict postpartum haemorrhage in an earlier stage. In the field of deep learning techniques and machine learning techniques, the medical practitioner has gained a lot of observation. This paper summarizes the merits and demerits of the technologies which have developed for the women who suffer the most in postpartum haemorrhage. Along with that, it also introduces a better performance comparison of different techniques. Finally, it describes the future work in this domain.