Author
Jean Chaumont
Bio: Jean Chaumont is an academic researcher from St. Joseph Hospital. The author has an hindex of 1, co-authored 1 publications receiving 116 citations.
Papers
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TL;DR: A dynamic control of the efficiency of the contractions during labor is described, and a monitoring device providing information on contraction rate and efficiency is proposed.
Abstract: The temporal and spectral properties of the human uterine electromyogram are first described, related to two different situations: pregnancy and parturition. Thus, a parameter set is selected, and a discriminant analysis is performed, in order to obtain the best discriminant vector for these two situations. A dynamic control of the efficiency of the contractions during labor is described. The good results of this dynamic control permit us to propose a monitoring device providing information on contraction rate and efficiency.
125 citations
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TL;DR: This work summarizes uterine animal and human electromyographic information obtained at cellular, myometrial, and abdominal levels during gestation and parturition to show that both internal and external electromyograms occur in phase with intrauterine pressure increase and exhibit similar spectra.
343 citations
TL;DR: Various linear and non-linear signal-processing techniques were applied to three-channel uterine EMG records to separate term and pre-term deliveries, showing noticeable differences between term delivery records recorded before and after the 26th week.
Abstract: Various linear and non-linear signal-processing techniques were applied to three-channel uterine EMG records to separate term and pre-term deliveries. The linear techniques were root mean square value, peak and median frequency of the signal power spectrum and autocorrelation zero crossing; while the selected non-linear techniques were estimation of the maximal Lyapunov exponent, correlation dimension and calculating sample entropy. In total, 300 records were grouped into four groups according to the time of recording (before or after the 26th week of gestation) and according to the total length of gestation (term delivery records--pregnancy duration >or=37 weeks and pre-term delivery records--pregnancy duration <37 weeks). The following preprocessing band-pass Butterworth filters were tested: 0.08-4, 0.3-4, and 0.3-3 Hz. With the 0.3-3 Hz filter, the median frequency indicated a statistical difference between those term and pre-term delivery records recorded before the 26th week (p = 0.03), and between all term and all pre-term delivery records (p = 0.012). With the same filter, the sample entropy indicated statistical differences between those term and pre-term delivery records recorded before the 26th week (p = 0.035), and between all term and all pre-term delivery records (p = 0.011). Both techniques also showed noticeable differences between term delivery records recorded before and after the 26th week (p
211 citations
TL;DR: Transabdominal uterine electromyography predicts delivery within 24 hours at term and within 4 days preterm, and offers many advantages and benefits that are not available with present uterine monitoring systems.
204 citations
TL;DR: Uterine EMG PV and PS peak frequency more accurately identify true preterm labor than clinical methods.
182 citations
Patent•
27 May 2005TL;DR: In this paper, a maternal-fetal monitoring system for use during all stages of pregnancy, including antepartum and intrapartum stages, is presented, which includes a set of sensors; amplifying/filtering means; computing means; and graphical user interface.
Abstract: A maternal-fetal monitoring system for use during all stages of pregnancy, including antepartum and intrapartum stages. The maternal-fetal monitoring system of the subject invention comprises (1) a set of sensors; (2) an amplifying/filtering means; (3) a computing means; and (4) a graphical user interface. Accurate clinical data, which can be extracted and provided to the user in real-time using the system of the invention, include without limitation, maternal electrocardiogram (ECG) signals, maternal uterine activity signals (EHG), maternal heart rate, fetal ECG signals, and fetal heart rate. In a preferred embodiment, the maternal-fetal monitoring system of the invention includes an intelligence means, such as a neural network system, to analyze and interpret clinical data for use in clinical diagnosis antepartum, intrapartum and postpartum, as well as delivery strategy.
157 citations