Application of wavelet transform to uterine electromyographic signals recorded using abdominal surface electrodes

Critical analysis of electrohysterographic methods for continuous monitoring of intrauterine pressure

Monitoring the progression of uterine activity provides important prognostic information during pregnancy and delivery. Currently, uterine activity monitoring relies on direct or indirect mechanical measurements of intrauterine pressure (IUP), which are unsuitable for continuous long-term observation. The electrohysterogram (EHG) provides a non-invasive alternative to the existing methods and is suitable for long-term ambulatory use. Several published state-of-the-art methods for EHG-based IUP estimation are here discussed, analyzed, optimized, and compared. By means of parameter space exploration, key parameters of the methods are evaluated for their relevance and optimal values. We have optimized all methods towards higher IUP estimation accuracy and lower computational complexity. Their accuracy was compared with the gold standard accuracy of internally measured IUP. Their computational complexity was compared based on the required number of multiplications per second (MPS). Significant reductions in computational complexity have been obtained for all published algorithms, while improving IUP estimation accuracy. A correlation coefficient of 0.72 can be obtained using fewer than 120 MPS. We conclude that long-term ambulatory monitoring of uterine activity is possible using EHG-based methods. Furthermore, the choice of a base method for IUP estimation is less important than the correct selection of electrode positions, filter parameters, and postprocessing methods. The presented review of state-of-the-art methods and applied optimizations show that long-term ambulatory IUP monitoring is feasible using EHG measurements.

Clinical Use of Electrohysterography During Term Labor: A Systematic Review on Diagnostic Value, Advantages, and Limitations

Importance

Real-time electrohysterography (EHG)-based technologies have recently become available for uterine monitoring during term labor. Therefore, obstetricians need to be familiar with the diagnostic value, advantages, and limitations of using EHG.

Objective

The aims of this study were to determine the diagnostic value of EHG in comparison to (1) the intrauterine pressure catheter (IUPC), (2) the external tocodynamometer (TOCO), and (3) in case of maternal obesity; (4) to evaluate EHG from users' and patients' perspectives; and (5) to assess whether EHG can predict labor outcome.

Evidence Acquisition

A systematic review was performed in the MEDLINE, EMBASE, and Cochrane library in October 2017 resulting in 209 eligible records, of which 20 were included.

Results

A high sensitivity for contraction detection was achieved by EHG (range, 86.0%-98.0%), which was significantly better than TOCO (range, 46.0%-73.6%). Electrohysterography also enhanced external monitoring in case of maternal obesity. The contraction frequency detected by EHG was on average 0.3 to 0.9 per 10 minutes higher compared with IUPC, which resulted in a positive predictive value of 78.7% to 92.0%. When comparing EHG tocograms with IUPC traces, an underestimation of the amplitude existed despite that patient-specific EHG amplitudes have been mitigated by amplitude normalization. Obstetricians evaluated EHG tocograms as better interpretable and more adequate than TOCO. Finally, potential EHG parameters that could predict a vaginal delivery were a predominant fundal direction and a lower peak frequency.

Conclusions and Relevance

Electrohysterography enhances external uterine monitoring of both nonobese and obese women. Obstetricians consider EHG as better interpretable; however, they need to be aware of the higher contraction frequency detected by EHG and of the amplitude mismatch with intrauterine pressure measurements.

Low-complexity intrauterine pressure estimation using the Teager energy operator on electrohysterographic recordings

Monitoring the progression of maternal uterine activity provides important prognostic information during pregnancy and parturition. Currently used methods for intrauterine pressure (IUP) measurement are unsuitable for long-term observation of uterine activity. The abdominally measured electrohysterogram (EHG) provides a non-invasive alternative to the existing methods for long-term ambulatory uterine contraction monitoring. A new low-complexity method for IUP estimation based on the Teager energy (TE) operator is proposed. The TE operator was used as it mimics the physiologic phenomena underlying the generation of the EHG signals. Several EHG signal analysis methods for IUP estimation from the literature are compared with the new TE method. The comparison is based on correlation and root mean square error of the IUP estimate with the gold standard internally measured IUP as well as their respective computational complexity. The proposed method results in a superior IUP estimation accuracy and complexity compared to state-of-the-art methods from the literature, with a complexity as much as 55 times lower. Therefore, the proposed method offers a valuable new option for long-term ambulatory uterine monitoring.

Evolution of phase synchronization of the two frequency components of the electrohysterogram (EHG): application to the detection of human labor

The analysis of the electrical activity of the uterus recorded externally, the electrohysterogram (EHG), may find an application in the prediction of labor. In the literature parameters that are supposed to be related to the excitability of the uterine cells have almost exclusively been used for this purpose. In the present paper we evaluate the possible use of synchronization parameters for EHG measured in several places on the uterus for this prediction. The EHG is mainly composed of two frequency components called FWL and FWH. These components may be related to the synchronization and the excitability phenomenon respectively. In order to study independently these frequency components, we extracted the corresponding ridges of the wavelet transform of the EHG using the GVF-snake method. For each frequency component we computed parameters that are related to the frequency content of the signals and parameters that consider the synchronization relationship between signals. The synchronization parameters used were the mean phase coherence and the phase entropy. The values of the different parameters were compared during pregnancy and labor by statistical analysis. The detection quality of each parameter was evaluated using ROC curves. Our results suggest that synchronization parameters could be used for the detection of labor in addition to the classical previously published parameters. Another important result of our study is that both FWH and FWL seem related to excitability but only FWL seems to be related to the synchronization of the uterus at term.

Uterine electromyogram database and processing function interface: An open standard analysis platform for electrohysterogram signals

The uterine electromyogram or electrohysterogram (EHG) is one of the most promising biophysical markers of preterm labor. At this time no recording parameter standard exists for EHG recordings which can be a problem for the establishment of international multicentric trials. In this paper, we present a management and processing system dedicated to storing and processing EHG signals. This system can process EHG signals recorded in different experimental conditions i.e. different sampling frequencies. The signal management is performed using an easy to use graphical user interface. Other available functions include visualization, preprocessing and analysis of EHG signals. The proposed processing functions provide temporal, spectral and time-scale parameters obtained from the EHG bibliography. The obtained results from real signals recorded in two different hospitals in two different countries are in accordance with the literature and demonstrate the potential of the proposed system. The incorporation of new functions is easy, due to a standardization of the EHG data formats.

[Uterine electromyogram: principle and interest in the diagnosis of preterm labour]

Preterm labour diagnosis rely on clinical arguments exhibiting low positive predictive values. Discrimination between uterine contractions leading to preterm delivery and physiologic uterine activity increase throughout pregnancy and remains difficult. Uterine electrical activity can be recorded non-invasively from the abdominal wall and could help in the diagnosis of preterm labour. Electrical signal characteristics are reflecting myometrial cells electrical properties which are varying throughout pregnancy and labour. During pregnancy, uterine electrical activity is very low. During term and preterm labour, uterine electrical activity increases as well as mechanical activity. Bursts become regular with high amplitude. Spectral analysis demonstrates an increase in the frequency content, as represented by the shift of the burst power density spectrum peak frequency from low to high frequencies. Consequently, the electromyogram signal reflects myometrial excitability and allows differentiating powerful uterine contractions leading to delivery from uterine physiologic activity. Moreover, electromyogram signal modifications occur before any increase in mechanical activity in the pregnant rats, allowing identification of preterm labour earlier than uterine mechanical activity measured by intrauterine pressure. Two studies performed in women present with preterm contractions are supporting the potential interest of the uterine electromyogram recording to help in the diagnosis of preterm labour; but further investigations are necessary.

Electrohysterographic analysis of uterine contraction propagation with labor progression: a preliminary study

Monitoring the uterine contractions provides important prognostic information during pregnancy and delivery. In particular, the propagation of uterine activity is closely related to the contraction efficiency. In the present study, a propagation analysis of uterine contraction is carried out by simultaneously recording the electrohysterogram (EHG) and the internal uterine pressure (IUP) on one woman in the last 4 hours of labor. The EHG, recorded in a monopolar multi-electrode configuration, was first processed in each channel in order to provide an accurate estimate of the IUP. The IUP estimate resulted in a correlation coefficient with the simultaneously recorded IUP r=0.74. Eventually, in order to evaluate the propagation of the muscular electrical activity, the delays among the IUP estimates in each channels were calculated by cross correlation function maximization. In agreement with previous studies, no preferred direction of propagation was singled out and pacemaker areas changed from contraction to contraction. However, by analyzing the occurrences of each pacemaker area, the uterine upper part resulted the most frequent location. Moreover, the close agreement between the number of simultaneously active electrodes and the IUP peak values (r=0.76) revealed a relationship between the spreading of action potentials and the maximum amplitude of contraction.

What is the future of tocolysis?

Use of the currently available tocolytics is controversial because it has not been associated with improved perinatal outcomes. New markers of preterm labour may come from gene-profiling studies, in as much as they may help in identifying novel genes regulating myometrial quiescence and in expanding our understanding of the pathologic process of uterine dysfunction. Study of certain transcripts in circulating white blood cells by RT-PCR could assist the obstetrician in evaluation of the risks. Uterine electromyography (EMG) also has the potential benefit of monitoring tocolytic treatment, although no standard method of clinical interpretation has yet been devised for the results yielded by this instrumentation. Recent functional genomic studies found that in the uterus at term there is a massive down-regulation of a large panel of developmental cell adhesion molecules and proliferation-related genes. Conversely, maintaining the developmental processes in an active state in patients at risk would help to prevent preterm delivery. It is too early to suggest any therapies with anticytokines in pregnant women. However, exploration of genetic polymorphisms, which may influence the balance of pro- and anti-inflammatory cytokines that are relevant to the course of preterm labour, seems to be a novel avenue that should be explored.