Use of Deep Learning to Detect the Maternal Heart Rate and False Signals on Fetal Heart Rate Recordings.

We have developed deep learning models for automatic identification of the maternal heart rate (MHR) and, more generally, false signals (FSs) on fetal heart rate (FHR) recordings. The models can be used to preprocess FHR data prior to automated analysis or as a clinical alert system to assist the practitioner. Three models were developed and used to detect (i) FSs on the MHR channel (the FSMHR model), (ii) the MHR and FSs on the Doppler FHR sensor (the FSDop model), and (iii) FSs on the scalp ECG channel (the FSScalp model).

Fetal heart rate baseline computation with a weighted median filter.

Background: Automated fetal heart rate (FHR) analysis removes inter- and intra-expert variability, and is a promising solution for reducing the occurrence of fetal acidosis and the implementation of unnecessary medical procedures. The first steps in automated FHR analysis are determination of the baseline, and detection of accelerations and decelerations (A/D). We describe a new method in which a weighted median filter baseline (WMFB) is computed and A/Ds are then detected.

Development of a Smart Mobile Data Module for Fetal Monitoring in E-Healthcare.

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.

Thirty-Year Trends of Survival and Time-Varying Effects of Prognostic Factors in Patients With Metastatic Breast Cancer-A Single Institution Experience.

Background: Metastatic breast cancer is generally considered an incurable disease. In our study we aimed to detect a time trend of survival over the past 30 years and account for time-varying effects of the prognostic factors.

Patients And Methods: A total of 446 patients diagnosed with breast cancer at Saint Vincent de Paul Hospital, Lille, France between 1977 and 2013 who developed metastatic disease after a disease-free interval longer than 3 months and were followed-up for outcome.

[Comparison of immunochromatographic tests Actim(®) Prom and Amnioquick(®) Duo for the rapid detection of premature rupture of membranes].

Premature rupture of membranes (PRM) affects 5 to 15% of pregnancies, leading to prematurity and neonatal infection. PRM can be identified by through various amniotic fluid proteins in vaginal secretions. The aim of this study is to compare two immunochromatographic tests based on the detection of insulin-like growth factor binding protein (IGFBP-1) and alpha-foeto protein (AFP) for one of the two tests in cervico-vaginal secretions.

BioSigPlot: an opensource tool for the visualization of multi-channel biomedical signals with Matlab.

This paper presents a Matlab-based software (MathWorks inc.) called BioSigPlot for the visualization of multi-channel biomedical signals, particularly for the EEG. This tool is designed for researchers on both engineering and medicine who have to collaborate to visualize and analyze signals.

Acute hepatitis C during the third trimester of pregnancy.

A pregnant woman presented at 32 weeks of amenorrhea with jaundice secondary to acute hepatitis C. Spontaneous delivery took place 3 days later. The infant's serum tested negative for C viral RNA 6 months after delivery.

Prenatal diagnosis of an aorto-pulmonary window by fetal echocardiography.

Congenital aorto-pulmonary window or congenital aorto-pulmonary septal defect is a rare fetal malformation usually diagnosed after birth by echocardiography and usually associated with other congenital cardiovascular abnormalities (interrupted aortic arch, ventricular septal defect, atrial septal defect, tetralogy of Fallot). The authors report the first case of prenatal diagnosis of an aorto-pulmonary window associated with a ventricular septal defect identified by fetal ultrasonography at 28 weeks of pregnancy. The diagnosis was based on the echocardiographic images of normal semilunar aortic and pulmonic valves with evidence of a septal defect between the ascending aorta and pulmonary artery.