Detection of Movement Artefacts and Contraction Bursts Using Accelerometer and Electrohysterograms for Home Monitoring of Pregnancy - 23/11/18

Doi : 10.1016/j.irbm.2018.10.008

T. Happillon ^a , C. Muszynski ^a,^b , F. Zhang ^a , C. Marque ^a , D. Istrate ^a,^{^⁎}
^a Sorbonne University, University of Technology of Compiègne, CNRS, BMBI UMR 7338, 60200 Compiègne, France
^b Gynecology and obstetrical service, CHU Amiens-Picardie, 80480 Salouêl, France

^⁎Corresponding author.

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Abstract

Background

In developed countries, 10% of labors occur prematurely and are mainly due to contractions appearing too soon during the pregnancy. To detect such contractions, we developed a wearable device able to record both the electrical activity of the uterus, electrohysterograms (EHG), thanks to 18 electrodes, but also the mother movements, thanks to an embedded accelerometer.

Methods

In this study, we investigated the detectability of a begin/end of contraction by analyzing EHG signals with the Bayes Information Criterion, and we analyzed the three axis accelerometer signals to characterize the mother activity when she is carrying the device (such movements being possible sources of artifacts in the EHG signals).

Results

For the contraction detections, we obtained 68.38% (599/876) of good detection but a too high number of false alarms (1073). To reduce this false alarm number, we analyzed the three accelerometer signals and detected 98.7% of static phases of the mother and 95% of dynamic ones.

Discussion

The detection of precise movements inside the dynamic cluster still has to be investigated to improve the first obtained results, as well as the combination of these two research ways (EHG and accelerometer) applied at the same time during recording.

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Graphical abstract

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Highlights

•	The automatic detection of contraction bursts.
•	Contraction bursts contain specific frequency information in EHG signals.
•	Electrohysterograms can detect contractions leading to preterm delivery.
•	Accelerometer signals analysis can identify artifacts in EHG signal characterization.
•	Electrohysterograms analyzed by Bayes Information Criterion.