VINIF.2021.DA00138 – Internet-of-Things based contactless fetal Electrocardiogram monitoring system

Principle Investigator
Dr. Han Huy Dung
Host Organization
Hanoi University of Science and Technology

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.

Principle Investigator
Dr. Han Huy Dung
Host Organization
Hanoi University of Science and Technology


Expect Progress
Phase 1

– Develop 02 ECG measurement devices with non-contact sensors.
– Create a smartphone application for patients with the following features: BLE connectivity, data storage, signal display, login, registration, user information display, and data transmission to the cloud server.
– Prepare 01 conference paper.
– Develop a cloud server application with features for data collection and storage, basic registration and login, and user information storage.
– Create a smartphone application for doctors with login and registration features.
– Compile the first technical report on the system, smartphone applications, and cloud server.

Phase 2

– Develop 06 ECG measurement devices with non-contact sensors.
– Update the smartphone application for patients with the following features: display computed information from the cloud server, contact doctor, and early warnings.
– Enhance the cloud server application with a complete web interface for doctors and patients, and manage a database for patients and doctors.
– Develop an f/m ECG signal processing algorithm including noise reduction, f/m ECG signal separation, algorithms for calculating ECG parameters for both mother and child, and basic deep learning algorithms for health trend diagnosis and disease detection.
– Update the smartphone application for doctors with the following features: manage patient list, display patient information, connect to the cloud server, and communicate with patients.
– Prepare 01 conference paper.
– Publish or get accepted for 01 Q1 journal paper.
– Compile the second technical report on the system updates and the smartphone and cloud server applications.

Phase 3

– List of 200 mothers participating in the trial, including consent forms.
– Pre- and post-trial survey results of 200 mothers.
– Dataset of ECG signals for both mother and child.
– Report on the evaluation of the trial data.
– Final documentation for obtaining trial permissions for phase 1 and phase 2, including ethics committee approvals from trial facilities.
– Website for doctors and patients.
– 01 conference paper.
– 02 Q1 journal papers published or accepted for publication.
– 01 intellectual property registration.
– Support the training of 04 master’s students whose research aligns with the project’s direction.