Smart maternal continuous monitoring system with multimodal wearable sensors

• Main Author: Zhao, Guanlin
• Other Authors: Poenar Daniel Puiu
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Medicine, Health and Life Sciences; Wearable sensors; Maternal health monitoring; Fetal heart rate; Uterine contractions; Bio signal processing
• Online Access: https://hdl.handle.net/10356/174228
• Institution: Nanyang Technological University

This study provides an advanced solution which is Smart Maternal Continuous Monitoring System with multimodal wearable sensors in order to improve significantly in term of healthcare for pregnant women as well as fetuses. It presents the comprehensive and throughout approach to integrate the multiple types of sensors for monitoring the amounts of vital parameters into the wearable platform in order to capture the health status of pregnant women and fetuses. By leveraging multiple sensors: temperature sensors, ECG, Fetal Heart Rate Monitor (FHRM), and fetal movement and uterine contraction detection sensors, we can have the health status of pregnant women and fetuses under the variety diseases with varying health parameters. Beyond that, by employing advanced data processing algorithms, this system is capable of detecting potential health hazards at an early stage, which going to help doctors cut down on the impact on their patient. Comparative tests with existing products, such as smartwatches, reveal this system's higher sensitivity and more specialized efficiency for screening and monitoring the relevant health parameters related to maternal and fetal health. This dissertation gives a comprehensive appraisal of this system by performing a series of comparison tests for each of the prenatal care market's current offerings.