Fetal electrocardiogram signal extraction is of great significance for perinatal fetal monitoring. In order to improve the prediction accuracy of fetal electrocardiogram signal, this paper proposes a fetal electrocardiogram signal extraction method (GA-LSTM) based on genetic algorithm (GA) optimization with long and short term memory (LSTM) network. Firstly, according to the characteristics of the mixed electrocardiogram signal of the maternal abdominal wall, the global search ability of the GA is used to optimize the number of hidden layer neurons, learning rate and training times of the LSTM network, and the optimal combination of parameters is calculated to make the network topology and the mother body match the characteristics of the mixed signals of the abdominal wall. Then, the LSTM network model is constructed using the optimal network parameters obtained by the GA, and the nonlinear transformation of the maternal chest electrocardiogram signals to the abdominal wall is estimated by the GA-LSTM network. Finally, using the non-linear transformation obtained from the maternal chest electrocardiogram signal and the GA-LSTM network model, the maternal electrocardiogram signal contained in the abdominal wall signal is estimated, and the estimated maternal electrocardiogram signal is subtracted from the mixed abdominal wall signal to obtain a pure fetal electrocardiogram signal. This article uses clinical electrocardiogram signals from two databases for experimental analysis. The final results show that compared with the traditional normalized minimum mean square error (NLMS), genetic algorithm-support vector machine method (GA-SVM) and LSTM network methods, the method proposed in this paper can extract a clearer fetal electrocardiogram signal, and its accuracy, sensitivity, accuracy and overall probability have been better improved. Therefore, the method could extract relatively pure fetal electrocardiogram signals, which has certain application value for perinatal fetal health monitoring.
ObjectiveTo systematically review the prognosis of fetal isolated hyper echogenic kidneys (IHEK) on prenatal ultrasound examination. MethodsPubMed, EMbase, Web of Science, WanFang Data, and CNKI databases were electronically searched to collect cross-sectional studies on the prognosis of fetal IHEK on prenatal ultrasound examination from January 1990 to January 2021. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of included studies; then, meta-analysis was performed by using R 3.5.2 software. ResultsA total of 9 cross-sectional studies involving 348 fetuses were included. The results of meta-analysis showed that the incidence rate of live births was 79% (95%CI 69% to 88%), termination of pregnancy/neonatal mortality (TOP/NND) was 30% (95%CI 15% to 45%), normal kidneys was 34% (95%CI 15% to 53%), autosomal recessive polycystic kidney disease (ARPKD) was 21% (95%CI 12% to 30%), autosomal dominant polycystic kidney disease (ADPKD) was 13% (95%CI 5% to 21%), and multicystic dysplastic kidney (MCDK) was 4% (95%CI 2% to 7%). Subgroup analysis showed that the prognosis of normal amniotic fluid subgroup was significantly superior to that of reduced amniotic fluid subgroup. ConclusionCurrent evidence shows that the incidence of adverse pregnancy outcomes in patients with IHEK on prenatal ultrasound examination is high, the prognosis is superior when IHEK with normal amniotic fluid volume, and is worse when with small amniotic fluid volume. Due to limited quality and quantity of the included studies, more high-quality studies are required to verify the above conclusion.
The monitoring of pregnant women is very important. It plays an important role in reducing fetal mortality, ensuring the safety of perinatal mother and fetus, preventing premature delivery and pregnancy accidents. At present, regular examination is the mainstream method for pregnant women's monitoring, but the means of examination out of hospital is scarce, and the equipment of hospital monitoring is expensive and the operation is complex. Using intelligent information technology (such as machine learning algorithm) can analyze the physiological signals of pregnant women, so as to realize the early detection and accident warning for mother and fetus, and achieve the purpose of high-quality monitoring out of hospital. However, at present, there are not enough public research reports related to the intelligent processing methods of out-of-hospital monitoring for pregnant women, so this paper takes the out-of-hospital monitoring for pregnant women as the research background, summarizes the public research reports of intelligent processing methods, analyzes the advantages and disadvantages of the existing research methods, points out the possible problems, and expounds the future development trend, which could provide reference for future related researches.
OBJECTIVE To investigate the clinical results used fetal bone repairing the defect after osteoma resection. METHODS In 8 hours after abortion, the fetal bones of four limbs were cut and kept in the normal saline with gentamycin. Then the graft was storaged under 6 degrees C-8 degrees C and the longest storage time was 48 hours. Since 1990, seven cases of osteoma had been cured with fetal bone graft. Among them, there were 5 males and 2 females, aged from 6 to 38 years, the bone defect volume ranged from 5.5 cm x 3.6 cm x 2.5 cm to 9.0 cm x 4.3 cm x 3.2 cm. During operation, the osteoma was resected radically, then the defected cavity was impacted with prepared fetal bone. RESULTS After operation, the general condition was good, all the incision wound healed primarily. Sixteen weeks after operation, the defected cavity was repaired completely and the medullary cavity reopened. Follow-up for 8 months to 5 years, no recurrence or side-effect were observed. CONCLUSION Because of the more rapid expansion and replacement effect, the ber osteoinduction, and the lower immune response, the fetal bone is practical material for repairing the bone defect in osteoma resection.
PURPOSES:To investigate the time of neuronie apoptosis in the retinas of Imman fetuses,and its relations with neuronie proliferation and differentiation, METHODS:The retinas of 27 human fetuses from 8th to 38th week of R,~til- ization age and 3 adults were studied by TdT-mediated dUTP nick end labelling(TUNEL) method. RESULTS:Tbe nuctei of labeled apoptotic cells were charaeterised by nuclear marginization,ehromatln condensation and cleseent shape,and some apoptotie bodies were visible in the specimens. The apoptosis of neuroepithelium of fetal rclina took place during 8th to 18th week, Apoptosis of ganglion cells were observed from 1256 to 18th week. The apoptos[s of pholorec, plors were formd from 14th to 2Ist week ,while thai of bipolar neurones and M~ller cells were found from ldth to 28th week. No apoptosb of ocstones were observed in the retinas after 28th week of fertilization age and within the retinas of adults. CONCLUSION:The proliferating cells of neuroepithelium and Ihe neurones which just differetiated from fetal retina might partly undergo apoptosis. The time of apoptosls of differentiated neurones was consistent with the time of the synapses formation between neurones and their targel cells. （Chin J Ocul Fundus Dis,1997,13:67 -69 ）
Abstract In order to repair the bone defect afteroperation of benign lesion of extremity, the fetal demineralized bone was applied in 10 cases. These cases were followed up for 6 months to 8 years. The results showed that the grafted bone was integrated with the host bone in 6 months. Noadverse effect was found. The demineralized bone did not induce rejection. The advantages of using fetal demineralized bone were as follows: easily obtainable,its preparation and method of storage simple, and low finacial cast.