Development of a smart mobile data module for fetal monitoring in e-healthcare

Houze De L'aulnoit, Agathe; Boudet, Samuel; Genin, Michaël; Gautier, Pierre-François; Schiro, Jessica; Houze De L'aulnoit, Denis; Beuscart, Regis

Document type :

Article dans une revue scientifique: Article original

DOI :

10.1007/s10916-018-0938-1

PMID :

29572752

Permalink :

http://hdl.handle.net/20.500.12210/17301

Title :

Development of a smart mobile data module for fetal monitoring in e-healthcare

Author(s) :

Houze De L'aulnoit, Agathe [Auteur]
Boudet, Samuel [Auteur]
Genin, Michaël [Auteur]

Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Gautier, Pierre-François [Auteur]
Schiro, Jessica [Auteur]

Houze De L'aulnoit, Denis [Auteur]
Beuscart, Regis [Auteur]

Journal title :

Journal of medical systems

Abbreviated title :

J Med Syst

Volume number :

Pages :

Publication date :

2018-03-23

ISSN :

1573-689X

English keyword(s) :

Fetalmonitoring
Smart device
Archiving
Fetal heart rate recording

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

The fetal heart rate (FHR) is a marker of fetal well-being in utero (when monitoring maternal and/or fetal pathologies) and during labor. Here, we developed a smart mobile data module for the remote acquisition and ...
Show more >The fetal heart rate (FHR) is a marker of fetal well-being in utero (when monitoring maternal and/or fetal pathologies) and during labor. Here, we developed a smart mobile data module for the remote acquisition and transmission (via a Wi-Fi or 4G connection) of FHR recordings, together with a web-based viewer for displaying the FHR datasets on a computer, smartphone or tablet. In order to define the features required by users, we modelled the fetal monitoring procedure (in home and hospital settings) via semi-structured interviews with midwives and obstetricians. Using this information, we developed a mobile data transfer module based on a Raspberry Pi. When connected to a standalone fetal monitor, the module acquires the FHR signal and sends it (via a Wi-Fi or a 3G/4G mobile internet connection) to a secure server within our hospital information system. The archived, digitized signal data are linked to the patient's electronic medical records. An HTML5/JavaScript web viewer converts the digitized FHR data into easily readable and interpretable graphs for viewing on a computer (running Windows, Linux or MacOS) or a mobile device (running Android, iOS or Windows Phone OS). The data can be viewed in real time or offline. The application includes tools required for correct interpretation of the data (signal loss calculation, scale adjustment, and precise measurements of the signal's characteristics). We performed a proof-of-concept case study of the transmission, reception and visualization of FHR data for a pregnant woman at 30 weeks of amenorrhea. She was hospitalized in the pregnancy assessment unit and FHR data were acquired three times a day with a Philips Avalon® FM30 fetal monitor. The prototype (Raspberry Pi) was connected to the fetal monitor's RS232 port. The emission and reception of prerecorded signals were tested and the web server correctly received the signals, and the FHR recording was visualized in real time on a computer, a tablet and smartphones (running Android and iOS) via the web viewer. This process did not perturb the hospital's computer network. There was no data delay or loss during a 60-min test. The web viewer was tested successfully in the various usage situations. The system was as user-friendly as expected, and enabled rapid, secure archiving. We have developed a system for the acquisition, transmission, recording and visualization of RCF data. Healthcare professionals can view the FHR data remotely on their computer, tablet or smartphone. Integration of FHR data into a hospital information system enables optimal, secure, long-term data archiving.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

CHU Lille
Université de Lille

Collections :

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Submission date :

2019-12-09T18:18:11Z

Version	Link	Modification date
2	20.500.12210/17301	2024-04-03T08:11:12Z
1	20.500.12210/17301.1*	2019-12-09T18:18:11Z

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