• MeSH
• chybná zdravotní péče MeSH
• císařský řez MeSH
• dospělí MeSH
• hypoxie plodu * diagnostické zobrazování   MeSH
• kardiotokografie * MeSH
• komplikace porodu MeSH
• lidé MeSH
• novorozenec MeSH
• těhotenství MeSH
• znalecký posudek MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• novorozenec MeSH
• těhotenství MeSH
• ženské pohlaví MeSH
• Publikační typ
• kazuistiky MeSH

• MeSH
• císařský řez * MeSH
• dospělí MeSH
• hypoxie plodu * diagnostické zobrazování   MeSH
• kardiotokografie MeSH
• komplikace porodu MeSH
• lidé MeSH
• novorozenec MeSH
• perinatální smrt MeSH
• předčasný porod chirurgie   MeSH
• těhotenství MeSH
• znalecký posudek MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• novorozenec MeSH
• těhotenství MeSH
• ženské pohlaví MeSH
• Publikační typ
• kazuistiky MeSH

• MeSH
• kardiotokografie klasifikace   MeSH
• lidé MeSH
• porod * MeSH
• porodnická analgezie klasifikace   MeSH
• těhotenství MeSH
• vedení porodu metody   MeSH
• Check Tag
• lidé MeSH
• těhotenství MeSH
• ženské pohlaví MeSH
• Publikační typ
• přehledy MeSH

Odloučení placenty může být katastrofální událostí s následky pro matku i plod. Prezentujeme masivní odloučení placenty, ke kterému došlo u mladé asymptomatické matky v 30. týdnu těhotenství. Ačkoli elektronický monitoring plodu a ultrazvuk umožnily rychlou diagnózu retroplacentárního hematomu o velikosti 8 × 5 cm, plod během akutního císařského řezu odumřel. Plod byl intubován a resuscitován, ale neúspěšně. Histologické vyšetření placenty prokázalo ztenčené a na sebe navrstvené choriové klky se zvýšeným množstvím kapilár a syncitiálními hnízdy a ložisky fibrinoidní nekrózy za přítomnosti hyalinních pruhů jak na straně matky, tak na straně plodu.

Abruptio placenta can be a catastrophic event with a high association with adverse maternal and fetal outcomes. We present a case of massive abruptio placenta occurring in a young asymptomatic mother at 30 weeks‘ gestation. Although electronic fetal monitoring and ultrasound allowed a prompt diagnosis of an 8 × 5 cm retroplacental hematoma, the fetus died at the time of emergency cesarean section. The fetus was intubated, but could not be resuscitated. Histologic examination of the placenta documented thinning and stacked hypercapillarized villi, with syncytial buds and foci of fibrinoid necrosis in the presence of hyaline streaks on both the maternal and fetal sides.

• MeSH
• bolesti zad etiologie   MeSH
• císařský řez metody   MeSH
• děložní krvácení diagnostické zobrazování   etiologie   patologie   MeSH
• distres plodu diagnóza   etiologie   MeSH
• hematom diagnostické zobrazování   etiologie   patologie   MeSH
• histologické techniky MeSH
• mladý dospělý MeSH
• monitorování plodu MeSH
• narození mrtvého plodu MeSH
• předčasné odlučování placenty * diagnostické zobrazování   patologie   MeSH
• těhotenství MeSH
• ultrasonografie MeSH
• Check Tag
• mladý dospělý MeSH
• těhotenství MeSH
• ženské pohlaví MeSH
• Publikační typ
• kazuistiky MeSH

The independent component analysis (ICA) based methods are among the most prevalent techniques used for non-invasive fetal electrocardiogram (NI-fECG) processing. Often, these methods are combined with other methods, such adaptive algorithms. However, there are many variants of the ICA methods and it is not clear which one is the most suitable for this task. The goal of this study is to test and objectively evaluate 11 variants of ICA methods combined with an adaptive fast transversal filter (FTF) for the purpose of extracting the NI-fECG. The methods were tested on two datasets, Labour dataset and Pregnancy dataset, which contained real records obtained during clinical practice. The efficiency of the methods was evaluated from the perspective of determining the accuracy of detection of QRS complexes through the parameters of accuracy (ACC), sensitivity (SE), positive predictive value (PPV), and harmonic mean between SE and PPV (F1). The best results were achieved with a combination of FastICA and FTF, which yielded mean values of ACC = 83.72%, SE = 92.13%, PPV = 90.16%, and F1 = 91.14%. Time of calculation was also taken into consideration in the methods. Although FastICA was ranked to be the sixth fastest with its mean computation time of 0.452 s, it had the best ratio of performance and speed. The combination of FastICA and adaptive FTF filter turned out to be very promising. In addition, such device would require signals acquired from the abdominal area only; no need to acquire reference signal from the mother's chest.

• MeSH
• algoritmy MeSH
• elektrokardiografie metody   MeSH
• lidé MeSH
• monitorování plodu * metody   MeSH
• plod MeSH
• počítačové zpracování signálu * MeSH
• těhotenství MeSH
• Check Tag
• lidé MeSH
• těhotenství MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

• MeSH
• dostupnost zdravotnických služeb MeSH
• lékařské mise MeSH
• lidé MeSH
• monitorování plodu metody   MeSH
• osobní vzpomínky jako téma MeSH
• porod etnologie   MeSH
• porodnice organizace a řízení   MeSH
• porodnictví * metody   organizace a řízení   statistika a číselné údaje   MeSH
• Check Tag
• lidé MeSH
• ženské pohlaví MeSH
• Publikační typ
• eseje MeSH
• Geografické názvy
• Keňa MeSH

On the outbreak of the global COVID-19 pandemic, high-risk and vulnerable groups in the population were at particular risk of severe disease progression. Pregnant women were one of these groups. The infectious disease endangered not only the physical health of pregnant women, but also their mental well-being. Improving the mental health of pregnant women and reducing their risk of an infectious disease could be achieved by using remote home monitoring solutions. These would allow the health of the mother and fetus to be monitored from the comfort of their home, a reduction in the number of physical visits to the doctor and thereby eliminate the need for the mother to venture into high-risk public places. The most commonly used technique in clinical practice, cardiotocography, suffers from low specificity and requires skilled personnel for the examination. For that and due to the intermittent and active nature of its measurements, it is inappropriate for continuous home monitoring. The pandemic has demonstrated that the future lies in accurate remote monitoring and it is therefore vital to search for an option for fetal monitoring based on state-of-the-art technology that would provide a safe, accurate, and reliable information regarding fetal and maternal health state. In this paper, we thus provide a technical and critical review of the latest literature and on this topic to provide the readers the insights to the applications and future directions in fetal monitoring. We extensively discuss the remaining challenges and obstacles in future research and in developing the fetal monitoring in the new era of Fetal monitoring 4.0, based on the pillars of Healthcare 4.0.

• MeSH
• COVID-19 * epidemiologie   prevence a kontrola   MeSH
• kardiotokografie metody   MeSH
• lidé MeSH
• monitorování plodu MeSH
• pandemie * prevence a kontrola   MeSH
• prenatální péče MeSH
• těhotenství MeSH
• Check Tag
• lidé MeSH
• těhotenství MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH

INTRODUCTION: Following the detection of fetal growth restriction, there is no consensus about the criteria that should trigger delivery in the late preterm period. The consequences of inappropriate early or late delivery are potentially important yet practice varies widely around the world, with abnormal findings from fetal heart rate monitoring invariably leading to delivery. Indices derived from fetal cerebral Doppler examination may guide such decisions although there are few studies in this area. We propose a randomised, controlled trial to establish the optimum method of timing delivery between 32 weeks and 36 weeks 6 days of gestation. We hypothesise that delivery on evidence of cerebral blood flow redistribution reduces a composite of perinatal poor outcome, death and short-term hypoxia-related morbidity, with no worsening of neurodevelopmental outcome at 2 years. METHODS AND ANALYSIS: Women with non-anomalous singleton pregnancies 32+0 to 36+6 weeks of gestation in whom the estimated fetal weight or abdominal circumference is <10th percentile or has decreased by 50 percentiles since 18-32 weeks will be included for observational data collection. Participants will be randomised if cerebral blood flow redistribution is identified, based on umbilical to middle cerebral artery pulsatility index ratio values. Computerised cardiotocography (cCTG) must show normal fetal heart rate short term variation (≥4.5 msec) and absence of decelerations at randomisation. Randomisation will be 1:1 to immediate delivery or delayed delivery (based on cCTG abnormalities or other worsening fetal condition). The primary outcome is poor condition at birth and/or fetal or neonatal death and/or major neonatal morbidity, the secondary non-inferiority outcome is 2-year infant general health and neurodevelopmental outcome based on the Parent Report of Children's Abilities-Revised questionnaire. ETHICS AND DISSEMINATION: The Study Coordination Centre has obtained approval from London-Riverside Research Ethics Committee (REC) and Health Regulatory Authority (HRA). Publication will be in line with NIHR Open Access policy. TRIAL REGISTRATION NUMBER: Main sponsor: Imperial College London, Reference: 19QC5491. Funders: NIHR HTA, Reference: 127 976. Study coordination centre: Imperial College Healthcare NHS Trust, Du Cane Road, London, W12 0HS with Centre for Trials Research, College of Biomedical & Life Sciences, Cardiff University. IRAS Project ID: 266 400. REC reference: 20/LO/0031. ISRCTN registry: 76 016 200.

• MeSH
• dítě MeSH
• hmotnost plodu MeSH
• kardiotokografie MeSH
• kojenec MeSH
• lidé MeSH
• novorozenec MeSH
• předčasný porod * MeSH
• randomizované kontrolované studie jako téma MeSH
• růstová retardace plodu MeSH
• srdeční frekvence plodu fyziologie   MeSH
• těhotenství MeSH
• ultrasonografie prenatální * MeSH
• Check Tag
• dítě MeSH
• kojenec MeSH
• lidé MeSH
• novorozenec MeSH
• těhotenství MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• protokol klinické studie MeSH

This paper is focused on the design, implementation and verification of a novel method for the optimization of the control parameters of different hybrid systems used for non-invasive fetal electrocardiogram (fECG) extraction. The tested hybrid systems consist of two different blocks, first for maternal component estimation and second, so-called adaptive block, for maternal component suppression by means of an adaptive algorithm (AA). Herein, we tested and optimized four different AAs: Adaptive Linear Neuron (ADALINE), Standard Least Mean Squares (LMS), Sign-Error LMS, Standard Recursive Least Squares (RLS), and Fast Transversal Filter (FTF). The main criterion for optimal parameter selection was the F1 parameter. We conducted experiments using real signals from publicly available databases and those acquired by our own measurements. Our optimization method enabled us to find the corresponding optimal settings for individual adaptive block of all tested hybrid systems which improves achieved results. These improvements in turn could lead to a more accurate fetal heart rate monitoring and detection of fetal hypoxia. Consequently, our approach could offer the potential to be used in clinical practice to find optimal adaptive filter settings for extracting high quality fetal ECG signals for further processing and analysis, opening new diagnostic possibilities of non-invasive fetal electrocardiography.

• MeSH
• algoritmy MeSH
• elektrokardiografie * metody   MeSH
• lidé MeSH
• metoda nejmenších čtverců MeSH
• monitorování plodu metody   MeSH
• plod fyziologie   MeSH
• počítačové zpracování signálu * MeSH
• těhotenství MeSH
• Check Tag
• lidé MeSH
• těhotenství MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

Non-invasive fetal electrocardiography appears to be one of the most promising fetal monitoring techniques during pregnancy and delivery nowadays. This method is based on recording electrical potentials produced by the fetal heart from the surface of the maternal abdomen. Unfortunately, in addition to the useful fetal electrocardiographic signal, there are other interference signals in the abdominal recording that need to be filtered. The biggest challenge in designing filtration methods is the suppression of the maternal electrocardiographic signal. This study focuses on the extraction of fetal electrocardiographic signal from abdominal recordings using a combination of independent component analysis, recursive least squares, and ensemble empirical mode decomposition. The method was tested on two databases, the Fetal Electrocardiograms, Direct and Abdominal with Reference Heartbeats Annotations and the PhysioNet Challenge 2013 database. The evaluation was performed by the assessment of the accuracy of fetal QRS complexes detection and the quality of fetal heart rate determination. The effectiveness of the method was measured by means of the statistical parameters as accuracy, sensitivity, positive predictive value, and F1-score. Using the proposed method, when testing on the Fetal Electrocardiograms, Direct and Abdominal with Reference Heartbeats Annotations database, accuracy higher than 80% was achieved for 11 out of 12 recordings with an average value of accuracy 92.75% [95% confidence interval: 91.19-93.88%], sensitivity 95.09% [95% confidence interval: 93.68-96.03%], positive predictive value 96.36% [95% confidence interval: 95.05-97.17%] and F1-score 95.69% [95% confidence interval: 94.83-96.35%]. When testing on the Physionet Challenge 2013 database, accuracy higher than 80% was achieved for 17 out of 25 recordings with an average value of accuracy 78.24% [95% confidence interval: 73.44-81.85%], sensitivity 81.79% [95% confidence interval: 76.59-85.43%], positive predictive value 87.16% [95% confidence interval: 81.95-90.35%] and F1-score 84.08% [95% confidence interval: 80.75-86.64%]. Moreover, the non-invasive ST segment analysis was carried out on the records from the Fetal Electrocardiograms, Direct and Abdominal with Reference Heartbeats Annotations database and achieved high accuracy in 7 from in total of 12 records (mean values μ < 0.1 and values of ±1.96σ < 0.1).

• MeSH
• algoritmy * MeSH
• břicho fyziologie   MeSH
• databáze faktografické MeSH
• elektrokardiografie metody   MeSH
• lidé MeSH
• matky statistika a číselné údaje   MeSH
• monitorování plodu metody   MeSH
• plod fyziologie   MeSH
• počítačové zpracování signálu přístrojové vybavení   MeSH
• srdeční frekvence plodu fyziologie   MeSH
• těhotenství MeSH
• Check Tag
• lidé MeSH
• těhotenství MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH