Wearable Sensors and AI Algorithms for Pregnant Women

Introduction: Wearable Sensors

This book chapter aims to disseminate the impact created by the usage of wearable sensors along with Artificial Intelligence technologies for pregnant women. A healthy society depends on the heath of the expectant mother and baby that may be impacted by several causes and medical conditions including high blood pressure, which can result in preeclampsia, abnormal fetal development, or fetus development in tubes, which can result in ectopic pregnancy. A major contributor to prenatal and postnatal health issues that might result from antepartum or postpartum are hemorrhage, uncut placenta, vaginal infection following delivery, and iron deficiency. The process of recuperation is tough in rural locations where access to medical services is difficult for individuals to get, making timely medical aid crucial to preventing future difficulties.

Wearable sensors technology has been applied to a wide variety of products both medical as well as consumer. The expansion and usage of wearable sensors are associated with various parameters such as user-friendly technology, economical assessability to technology, and universalization of wearables. It has contributed to an increase in hindrance, growth, experimentation, and also commercialization during recent years. It has incorporated mechanical, electrical, and optical methods for measuring the parameters of the body. The technological customization to the innovation of minimized sensing technologies to provide continuous remote sensing at ease is a boon to society. The amount of data collected through the sensors can be enormous and informative in the healthcare domain. Sensing chemical values is quite challenging in terms of adaptability to provide beneficial results such as accurate values of detection on the surface of the human skin. The widespread use of wearable sensors contributes to technological advancement in a less expensive way where constant monitoring of data is been accomplished with less interference required from doctors. Sensors are accustomed to adapting along with mobile applications where all values are periodically noted (Bagwari & Gairola, 2021). However, despite the success in the collection of values, there comes a discrepancy in values caused by many factors that can contribute to an increase in heart rate or can cause sweat due to humidity changes. Besides, the technology incorporated within past wearables is age-old and of no new scope for improvement. One such wearable that is using the most advanced technology such as transdermal glucose monitors is used to predicting the sugar levels of patients to diagnose diabetes.