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Development of a Smart Mobile Data Module for Fetal Monitoring in E-Healthcare
Agathe Houzé de l'Aulnoit1,2, Samuel Boudet3, Michaël Génin4
1Univ Nord de France; CHU Lille, UDSL EA2694, F-59000, Lille, France. ahouzedelaulnoit@yahoo.fr.
A new mobile system enables remote monitoring of fetal heart rate (FHR) data, improving fetal well-being assessment. This technology allows healthcare professionals to securely access FHR recordings via web-enabled devices for better patient care.
Area of Science:
- Biomedical Engineering
- Digital Health
- Obstetrics
Background:
- Fetal heart rate (FHR) is a critical indicator of fetal well-being.
- Current FHR monitoring methods can be limited in remote accessibility and data integration.
Purpose of the Study:
- To develop a smart mobile data module for remote acquisition and transmission of FHR recordings.
- To create a web-based viewer for accessible FHR data visualization on various devices.
- To integrate FHR data into hospital information systems for secure archiving.
Main Methods:
- Semi-structured interviews with midwives and obstetricians to define user requirements.
- Development of a Raspberry Pi-based mobile data transfer module for FHR signal acquisition.
- Utilizing Wi-Fi or 4G for secure data transmission to a hospital server.
- Creation of an HTML5/JavaScript web viewer for real-time and offline FHR data visualization.
- Proof-of-concept case study with a pregnant patient.
Main Results:
- Successful remote acquisition, transmission, and visualization of FHR data.
- Web viewer displayed FHR recordings in real-time on computers, tablets, and smartphones.
- System demonstrated user-friendliness, rapid, and secure data archiving.
- No perturbation to the hospital network, with no data delay or loss during testing.
Conclusions:
- A novel system for FHR data acquisition, transmission, recording, and visualization has been developed.
- Healthcare professionals can remotely access FHR data, enhancing patient monitoring.
- Integration into hospital information systems ensures optimal and secure long-term data archiving.
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