Uterine Monitoring Techniques from Patients' and Users' Perspectives

Thijssen, Kirsten M.J.; Vlemminx, Marion W.C.; Westerhuis, Michelle E.M.H.; Dieleman, Jeanne P.; Jagt, M.B. van der Hout-van der; Oei, S.G.

doi:10.1055/s-0038-1669409

Cited by 13 publications

(13 citation statements)

References 25 publications

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“…Previous research has shown that the EHG technology performs better than TOCO during the first stage of labor in non‐obese and obese women 15 . Furthermore, the technology is preferred by women compared with conventional technologies for UA monitoring 29 …”

Section: Discussionmentioning

confidence: 99%

Intrapartum non‐invasive electrophysiological monitoring: A prospective observational study

Lempersz

Noben

Osta³

et al. 2020

Acta Obstet Gynecol Scand

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Introduction Doppler ultrasound cardiotocography is a non‐invasive alternative that, despite its poor specificity, is often first choice for intrapartum monitoring. Doppler ultrasound suffers from signal loss due to fetal movements and is negatively correlated with maternal body mass index (BMI). Reported accuracy of fetal heart rate monitoring by Doppler ultrasound varies between 10.6 and 14.3 bpm and reliability between 62.4% and 73%. The fetal scalp electrode (FSE) is considered the reference standard for fetal monitoring but can only be applied after membranes have ruptured with sufficient cervical dilatation and is sometimes contra‐indicated. A non‐invasive alternative that overcomes the shortcomings of Doppler ultrasound, providing reliable information on fetal heart rate, could be the answer. Non‐invasive fetal electrocardiography (NI‐fECG) uses a wireless electrode patch on the maternal abdomen to obtain both fetal and maternal heart rate signals as well as an electrohysterogram. We aimed to validate a wireless NI‐fECG device for intrapartum monitoring in term singleton pregnancies, by comparison with the FSE. Material and methods We performed a multicenter cross‐sectional observational study at labor wards of 6 hospitals located in the Netherlands, Belgium, and Spain. Laboring women with a healthy singleton fetus in cephalic presentation and gestational age between 36 and 42 weeks were included. Participants received an abdominal electrode patch and FSE after written informed consent. Accuracy, reliability, and success rate of fetal heart rate readings were determined, using FSE as reference standard. Analysis was performed for the total population and measurement period as well as separated by labor stage and BMI class (≤30 and >30 kg/m2). Results We included a total of 125 women. Simultaneous registrations with NI‐fECG and FSE were available in 103 women. Overall accuracy is −1.46 bpm and overall reliability 86.84%. Overall success rate of the NI‐fECG is around 90% for the total population as well as for both BMI subgroups. Success rate dropped to 63% during second stage of labor, similar results are found when looking at the separate BMI groups. Conclusions Performance measures of the NI‐fECG device are good in the overall group and the separate BMI groups. Compared with Doppler ultrasound performance measures from the literature, NI‐fECG is a more accurate alternative. Especially, when women have a higher BMI, NI‐fECG performs well, resembling FSE performance measures.

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Section: Discussionmentioning

confidence: 99%

Intrapartum non‐invasive electrophysiological monitoring: A prospective observational study

Lempersz

Noben

Osta³

et al. 2020

Acta Obstet Gynecol Scand

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“…Furthermore, tocodynamometer and intrauterine pressure catheter are conventional devices for monitoring uterine activities, while EHG is an emerging technique. A tocodynamometer measures shape changes in the abdominal wall using a gauge transducer [12] and determines the frequency of contractions but not their intensity [11]. An intrauterine pressure catheter, which is an invasive and current gold standard, directly measures changes in intrauterine pressure using transducer catheters [12].…”

Section: Introductionmentioning

confidence: 99%

“…Electrohysterogram, also called a uterine electromyogram (EMG), measures the electrical activity of uterine muscles through abdominal electrodes [12]. EHG is an alternative technique for noninvasive assessment of uterine contractions resulting from discontinuous bursts of action potentials due to spontaneous electrical discharges from uterine muscles [13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…EHG has a notable advantage over conventional techniques, that is, the use of a tocodynamometer and intrauterine pressure catheter. Thus, EHG has been adopted as an alternative standard in clinics [12] and utilized for noninvasive monitoring and assessment of the uterine activity of pregnant women [20,21]. Previous studies [13,17,20,22,23] have reported that EHG can be processed and employed for diagnosing labor more accurately than other conventional techniques.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of wavelet‐based decomposition and empirical mode decomposition of electrohysterogram signals for preterm birth classification

Janjarasjitt

2022

ETRI Journal

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Signal decomposition is a computational technique that dissects a signal into its constituent components, providing supplementary information. In this study, the capability of two common signal decomposition techniques, including wavelet-based and empirical mode decomposition, on preterm birth classification was investigated. Ten time-domain features were extracted from the constituent components of electrohysterogram (EHG) signals, including EHG subbands and EHG intrinsic mode functions, and employed for preterm birth classification. Preterm birth classification and anticipation are crucial tasks that can help reduce preterm birth complications. The computational resultsshow that the preterm birth classification obtained using wavelet-based decomposition is superior. This, therefore, implies that EHG subbands decomposed through wavelet-based decomposition provide more applicable information for preterm birth classification. Furthermore, an accuracy of 0.9776 and a specificity of 0.9978, the best performance on preterm birth classification among state-of-the-art signal processing techniques, were obtained using the time-domain features of EHG subbands.

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“…[3][4][5][6] Furthermore, this method and the means of attaching the DU device to the maternal abdomen can be experienced as uncomfortable. 7 Invasive monitoring via FSE is a more reliable method and is considered the criterion standard for FHR monitoring. However, this method carries an increased risk for complications, such as trauma and infection, and can only be applied after membranes have been ruptured and with sufficient dilation.…”

mentioning

confidence: 99%

The Noninvasive Fetal Electrocardiogram During Labor: A Review of the Literature

Lempersz

Noben

Vries

et al. 2020

Obstetrical &Amp; Gynecological Survey

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Uterine Monitoring Techniques from Patients' and Users' Perspectives

Cited by 13 publications

References 25 publications

Intrapartum non‐invasive electrophysiological monitoring: A prospective observational study

Intrapartum non‐invasive electrophysiological monitoring: A prospective observational study

Comparison of wavelet‐based decomposition and empirical mode decomposition of electrohysterogram signals for preterm birth classification

The Noninvasive Fetal Electrocardiogram During Labor: A Review of the Literature

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