The project aims to design a home fetal electrocardiogram monitoring device with non-contact sensor technology, ensuring safety and ease of use while still achieving high reliability in acquisition and processing of fetal electrocardiogram signals for clinical diagnosis. At the same time, the project applies IoT technology to build an ecosystem connecting obstetricians and pregnant mothers, storing and providing fetal electrocardiogram data to doctors for diagnosis as well as providing services that create connection channels between doctors and mothers for regular examinations and timely notification of emergency cases.
Main tasks of the project
The project has 3 main tasks including:
(1) Develop a device to receive fetal electrocardiogram signals with non-contact sensing technology.
(2) Develop a mother/child ECG information system including smartphone applications for patients and doctors, data management cloud server, and signal processing software.
(3) System testing on 200 pregnant mothers.
Project impact
Congenital heart defects are currently one of the most common birth defects and are the leading cause of death during and after birth. The incidence of cardiovascular defects is more common in developing countries, including Vietnam, due to the lack of infrastructure and professional human resources to be able to perform effective and seamless periodic fetal assessment, with the phenomenon of examination overload always occurring at central hospitals. In rural or remote areas, routine fetal examinations are rarely or not performed. In addition, having to go to medical centers for regular fetal examinations has encountered many obstacles during the Covid-19 pandemic when contact and social distancing requirements are implemented. Therefore, this project with the goal of monitoring the fetal heart at home and providing an ecosystem connecting doctors and mothers will help solve the above difficulties thoroughly, thereby improving the health of mothers and fetuses, significantly reducing cardiovascular defects and death rates during and after birth.
