scholarly journals Prenatal and Obstetric Parameters of Late Terminations: A Retrospective Analysis

2021 ◽  
Vol 81 (07) ◽  
pp. 807-818
Author(s):  
Anne Dathan-Stumpf ◽  
Julia Kern ◽  
Renaldo Faber ◽  
Holger Stepan
Keyword(s):  
Chromosomal Aberrations ◽  
Estimation Error ◽  
Estimation Method ◽  
Penal Code ◽  
University Hospital ◽  
Psychosocial Burden ◽  
Maternal Complications ◽  
Fetal Gender ◽  
Obstetric Management ◽  
Psychosocial Emergency

Abstract Background In Germany, the highly sensitive issue of late terminations of pregnancy and feticide is regulated in Sec. 218a para. 2 of the German Penal Code (medical indication). This study aimed to investigate the prenatal obstetric approach after feticide and the rate of maternal complications. Material and Methods All feticides of singleton pregnancies carried out at Leipzig University Hospital (n = 164) in the period between 01/2016 and 12/2019 were retrospectively analyzed. Selective feticides of multiple pregnancies were excluded from the study. Target indicators for the prenatal obstetric approach were sonographic accuracy of estimation, method used to induce feticide, time between feticide and delivery, and whether curettage was required. The rate of maternal complications was defined as blood loss of ≥ 500 ml. Results The number of feticides as a percentage of the total number of births during the investigation period was 1.6%. None of the terminations were performed primarily because of a serious risk to the motherʼs physical health; all of the indications to terminate the pregnancy were based on the psychosocial burden and the risk to the motherʼs mental health as outlined in Sec. 218a StGB (German Penal Code). The most common fetal diagnoses in the context of a maternal psychosocial emergency were central nervous system abnormalities (29.3%), numerical chromosomal aberrations (29.3%) and structural chromosomal aberrations/syndromes (21.3%). Sonographic measurements were used to estimate fetal weight and the weight of around half of the fetuses was underestimated (− 121.8 ± 155.8 g). The margin of estimation error increased with increasing gestational age (p < 0.001). Misoprostol was the most common drug administered to induce labor. No significant association was found between the method chosen for induction, parity, fetal birth position, fetal anomaly, fetal gender, birth mode or the number of previous cesarean sections and Δdelivery. However, a significantly higher loss of blood was observed with longer Δdelivery (p = 0.02). The likelihood of requiring curettage increased with increasing loss of blood. The number of maternal complications as a percentage of the total patient population was 10.4%. Only 11% of patients agreed to a postmortem examination. Conclusion Late terminations of pregnancy carried out in accordance with Sec. 218a para. 2 StGB are a reality and must be understood and accepted as a possible consequence of modern prenatal medicine. The complication rate after feticide and the subsequent obstetric procedure was 10% for the above-defined maternal complication. Late terminations and their obstetric management should be carried out in specialized perinatal centers which offer interprofessional expertise.

scholarly journals End-Effector Pose Estimation in Complex Environments Using Complementary Enhancement and Adaptive Fusion of Multisensor

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Mingrui Luo ◽  
En Li ◽  
Rui Guo ◽  
Jiaxin Liu ◽  
Zize Liang
Keyword(s):  
Kalman Filter ◽  
Pose Estimation ◽  
Unscented Kalman Filter ◽  
Rbf Neural Network ◽  
Estimation Error ◽  
Estimation Method ◽  
Original Data ◽  
Measurement Unit ◽  
Complex Environments ◽  
End Effector

Redundant manipulators are suitable for working in narrow and complex environments due to their flexibility. However, a large number of joints and long slender links make it hard to obtain the accurate end-effector pose of the redundant manipulator directly through the encoders. In this paper, a pose estimation method is proposed with the fusion of vision sensors, inertial sensors, and encoders. Firstly, according to the complementary characteristics of each measurement unit in the sensors, the original data is corrected and enhanced. Furthermore, an improved Kalman filter (KF) algorithm is adopted for data fusion by establishing the nonlinear motion prediction of the end-effector and the synchronization update model of the multirate sensors. Finally, the radial basis function (RBF) neural network is used to adaptively adjust the fusion parameters. It is verified in experiments that the proposed method achieves better performances on estimation error and update frequency than the original extended Kalman filter (EKF) and unscented Kalman filter (UKF) algorithm, especially in complex environments.

scholarly journals The Parameter Estimation of Double Exponential Pulse Based on a Least Infinity Norm Fitting Method

2021 ◽  
Vol 2083 (4) ◽  
pp. 042002
Author(s):  
Yuewu Shi ◽  
Wei Wang ◽  
Zhizhen Zhu ◽  
Xin Nie
Keyword(s):  
Estimation Error ◽  
Estimation Method ◽  
Maximum Amplitude ◽  
Least Square Method ◽  
Least Square ◽  
Physical Parameters ◽  
Infinity Norm ◽  
Fitting Method ◽  
Double Exponential ◽  
Exponential Pulse

Abstract This paper presents an estimation method of double exponential pulse (DEP) between the physical parameters rise time (t r), full width at half maximum amplitude (t FWHM) and the mathematical parameters α, β. A newly fitting method based on the least infinity norm criterion is proposed to deal with the estimation problem of DEP. The calculation process and equation of parameters of this method is proposed based on an m-th-order polynomial fitting model. This estimation method is compared with the least square method by the same data and fitting function. The results show that the maximum estimation error of parameters of double exponential pulse obtained by the least infinity norm method is 1.5 %.

scholarly journals MATERNAL SEPSIS;

2019 ◽  
Vol 26 (05) ◽  
Author(s):  
Fehmida Parveen Memon ◽  
Majida Khan ◽  
Samya Aijaz
Keyword(s):  
Maternal Morbidity ◽  
Tertiary Care ◽  
Morbidity And Mortality ◽  
University Hospital ◽  
P Value ◽  
Care Hospital ◽  
Maternal Complications ◽  
Cross Sectional ◽  
Maternal Morbidity And Mortality ◽  
Maternal Sepsis

Objectives: To determine the thrombocytopenia as marker of maternal sepsis and its related maternal morbidity and mortality at tertiary care Hospital. Study Design: Cross-sectional study. Setting: Gynaecological and Obstetrical department of Liaquat University Hospital, Hyderabad. Period: 6 months from March 2017 to August 2017. Material and Methods: All the pregnant females with diagnosis of sepsis were enrolled in the study. All the females with chronic hepatitis were excluded. After complete clinical examination every women underwent 5cc blood sample for complete blood picture. Thrombocytopenia was characterized as a platelet count below 150.000/mm3. Data regarding maternal mortality and maternal complications was filled in the proforma. Results: Total 120 septic mothers were included in the study, 70 patients had thrombocytopenia and 50 were with normal platelets. Most of the women 71.7% were with age groups of 20-30 years. Out of total women 65.0% were un-booked. According to the maternal morbidity, septic shock was most common 36.7%, multi-organ failure was in 08.3%, prolonged Hospital stay was in 16.7%, ICU admission occurred in 18.3% patients, while renal failure, respiratory failure, hepatic failure, coagulopathy and metabolic acidosis were found with percentage of 09.2%, 02.5%, 10.8%, 10.8% and 03.3% respectively. Mortality rate was found among 8.3% out of total cases. Almost all complications were higher among women with thrombocytopenia as compare to women with normal platelets level, while statistically p-value was quite insignificant. Mortality was significantly high among patients with thrombocytopenia p-value 0.032. Conclusion: It was concluded that thrombocytopenia is a good marker for adverse outcome among septic mothers. Maternal morbidity and mortality was higher among septic women with thrombocytopenia.

Prototyping Sensor Network System for Automatic Vital Signs Collection

2013 ◽  
Vol 52 (03) ◽  
pp. 239-249 ◽  
Author(s):  
H. Noma ◽  
C. Naito ◽  
M. Tada ◽  
H. Yamanaka ◽  
T. Takemura ◽  
...  
Keyword(s):  
Sensor Network ◽  
Vital Sign ◽  
Paired Comparison ◽  
Estimation Error ◽  
Vital Signs ◽  
Position Estimation ◽  
University Hospital ◽  
Network System ◽  
Sensing System ◽  
Proximity Sensing

SummaryObjective: Development of a clinical sensor network system that automatically collects vital sign and its supplemental data, and evaluation the effect of automatic vital sensor value assignment to patients based on locations of sensors.Methods: The sensor network estimates the data-source, a target patient, from the position of a vital sign sensor obtained from a newly developed proximity sensing system. The proximity sensing system estimates the positions of the devices using a Bluetooth inquiry process. Using Bluetooth access points and the positioning system newly developed in this project, the sensor network collects vital sign and its 4W (who, where, what, and when) supplemental data from any Blue-tooth ready vital sign sensors such as Continua-ready devices. The prototype was evaluated in a pseudo clinical setting at Kyoto University Hospital using a cyclic paired comparison and statistical analysis.Results: The result of the cyclic paired analysis shows the subjects evaluated the proposed system is more effective and safer than POCS as well as paper-based operation. It halves the times for vital signs input and eliminates input errors. On the other hand, the prototype failed in its position estimation for 12.6% of all attempts, and the nurses overlooked half of the errors. A detailed investigation clears that an advanced interface to show the system’s “confidence”, i.e. the probability of estimation error, must be effective to reduce the oversights.Conclusions: This paper proposed a clinical sensor network system that relieves nurses from vital signs input tasks. The result clearly shows that the proposed system increases the efficiency and safety of the nursing process both subjectively and objectively. It is a step toward new generation of point of nursing care systems where sensors take over the tasks of data input from the nurses.

scholarly journals Estimating fusion properties for functionalised acids

2011 ◽  
Vol 11 (16) ◽  
pp. 8385-8394 ◽  
Author(s):  
S. Compernolle ◽  
K. Ceulemans ◽  
J.-F. Müller
Keyword(s):  
Vapour Pressure ◽  
Estimation Error ◽  
Estimation Method ◽  
Organic Aerosol ◽  
Estimation Methods ◽  
Fusion Temperature ◽  
Subcooled Liquid ◽  
Fusion Data ◽  
Simple Estimation ◽  
Data Estimation

Abstract. Multicomponent organic aerosol (OA) is likely to be liquid, or partially liquid. Hence, to describe the partitioning of these components, their liquid vapour pressure is desired. Functionalised acids (e.g. diacids) can be a significant part of OA. But often measurements are available only for solid state vapour pressure, which can differ by orders of magnitude from their liquid counterparts. To convert such a sublimation pressure to a subcooled liquid vapour pressure, fusion properties (two out of these three quantities: fusion enthalpy, fusion entropy, fusion temperature) are required. Unfortunately, experimental knowledge of fusion properties is sometimes missing in part or completely, hence an estimation method is required. Several fusion data estimation methods are tested here against experimental data of functionalised acids, and a simple estimation method is developed, specifically for this family of compounds, with a significantly smaller estimation error than the literature methods.

Feto-Maternal Outcome in Patients with Jaundice During Pregnancy

2021 ◽  
Vol 15 (10) ◽  
pp. 3452-3454
Author(s):  
Gulfareen Haider ◽  
Momna Khan ◽  
Fozia Shaikh ◽  
Asma Jabeen
Keyword(s):  
Renal Impairment ◽  
Viral Hepatitis ◽  
Hepatic Coma ◽  
Fetal Distress ◽  
Maternal Outcome ◽  
University Hospital ◽  
Maternal Complications ◽  
Singleton Pregnancy ◽  
Vaginal Deliveries ◽  
Abruptio Placenta

Objective: To find out causes and feto-maternal outcome among patients presented with jaundice during pregnancy. Material and methods: This study was conducted at Isra university Hospital over period of one year from January 2018 to December 2019 in OBS and gynecology department. A total of 50 females having singleton pregnancy and having jaundice were included in the study after taking verbal informed consent. All the patients underwent normal vaginal deliveries and cesarean section as per indications and Hospital protocol. All the information regarding demographic characteristics including maternal and fetal outcome in terms of complications and mortality was collected via self-made study proforma and data was analyzed by SPSS version 20. Results: Total 50 patients were included in this study and 50% belonged to the age group of more than 30 years. 50% were un-booked, multigravida were 80% and 60% women poor socioeconomically. Most of the females had jaundice occurrence during the third trimester. Most patients 40% had jaundice due to viral hepatitis. Major maternal complications were the coagulation failure and renal impairment among 40% and 20% of the cases respectively, followed by septicemia, hepatic coma, hepatic coma, ICU admission, Abruptio placenta, PPH and maternal mortality were found with the percentage of 12.0%, 10.0%, 20.0%, 28.0%, 30.0% and 4.0% respectively. As per neonatal complications, fetal distress was 20.0%, still births were 10.0% and IUD were 10.0%. Conclusion: As per study conclusion the most common cause of jaundice was viral hepatitis. Coagulation failure, renal impairment, abruptio placenta and PPH were observed to be the commonest maternal complications, while fetal distress, IUD and still birth were the frequent fetal complication among patients presenting with jaundice during pregnancy. Keywords: Jaundice, feto-maternal outcome, viral hepatitis

Truck mass estimation method based on the on-board sensor

2020 ◽  
Vol 234 (10-11) ◽  
pp. 2429-2443
Author(s):  
Beijia Wang ◽  
Hongliang Wang ◽  
Lei Wu ◽  
Liuliu Cai ◽  
Dawei Pi ◽  
...  
Keyword(s):  
Error Correction ◽  
Estimation Error ◽  
Estimation Method ◽  
Estimation Algorithm ◽  
Correction Method ◽  
Mass Estimation ◽  
The Road ◽  
Vehicle Mass ◽  
Error Correction Method ◽  
Road Gradient

Vehicle mass estimation is the key technology to improve vehicle stability. However, the existing mass estimation accuracy is easily affected by the change of road gradient, and there are few studies on the mass estimation method of the light truck. Aiming at this problem, this paper uses sensors to measure road gradient and rear suspension deformation and proposes a sensor-based vehicle mass estimation algorithm. First, factors that affect the mass estimation are analyzed, road gradient error correction method and mass estimation error correction method are established. Besides, the suspension deformation is decoupled from the road gradient. Second, the mass estimation algorithm model was established in Matlab/Simulink platform and compared with the mass estimation iterative algorithm. Finally, the road test was carried out under various conditions, the results show that the proposed mass estimation algorithm is robust, and the accuracy of the mass estimation will not be affected by the sudden change of road gradient.

scholarly journals Vehicle Velocity Estimation Fusion with Kinematic Integral and Empirical Correction on Multi-Timescales

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1242
Author(s):  
Jiangyi Lv ◽  
Hongwen He ◽  
Wei Liu ◽  
Yong Chen ◽  
Fengchun Sun
Keyword(s):  
Autonomous Vehicles ◽  
Estimation Error ◽  
Longitudinal Velocity ◽  
Estimation Method ◽  
Velocity Estimation ◽  
Model Parameters ◽  
Lateral Velocity ◽  
Empirical Correction ◽  
Vehicle Velocity ◽  
Wide Range

Accurate and reliable vehicle velocity estimation is greatly motivated by the increasing demands of high-precision motion control for autonomous vehicles and the decreasing cost of the required multi-axis IMU sensors. A practical estimation method for the longitudinal and lateral velocities of electric vehicles is proposed. Two reliable driving empirical judgements about the velocities are extracted from the signals of the ordinary onboard vehicle sensors, which correct the integral errors of the corresponding kinematic equations on a long timescale. Meanwhile, the additive biases of the measured accelerations are estimated recursively by comparing the integral of the measured accelerations with the difference of the estimated velocities between the adjacent strong empirical correction instants, which further compensates the kinematic integral error on short timescale. The algorithm is verified by both the CarSim-Simulink co-simulation and the controller-in-the-loop test under the CarMaker-RoadBox environment. The results show that the velocities can be accurately and reliably estimated under a wide range of driving conditions without prior knowledge of the tire-model and other unavailable signals or frequently changeable model parameters. The relative estimation error of the longitudinal velocity and the absolute estimation error of the lateral velocity are kept within 2% and 0.5 km/h, respectively.

Proportional Integral Estimator of the Stator Resistance for Direct Torque Control Induction Motor Drive

2017 ◽  
Vol 8 (4) ◽  
pp. 1631
Author(s):  
Jagdish Gangadharrao Chaudhari ◽  
Sanjay Bhauraoji Bodkhe ◽  
Mohan V. Aware
Keyword(s):  
Induction Motor ◽  
Estimation Error ◽  
Direct Torque Control ◽  
Estimation Method ◽  
Operating Conditions ◽  
Torque Control ◽  
Proportional Integral ◽  
Stator Current ◽  
Current Estimation ◽  
Stator Resistance

In this paper, an improved proportional integral stator resistance estimation for a direct torque controlled induction motor is proposed. This estimation method is based on an on-line stator resistance correction regarding the variations of the stator current estimation error. In fact, the input variable of the PI estimator is the stator current estimation error. The main idea is to tune accurately the stator resistance value relatively to the evolution of the stator current estimation error gradient to avoid the drive instability and ensure the tracking of the actual value of the stator resistance. But there is an unavoidable steady state error between the filtered stator current modulus and its estimated value from the dq model of the machine which is due to pseudo random commutations of the inverter switches. An offset has been introduced in order to overcome this problem, for different speed command values and load torques. Simulation results show that the proposed estimator was able to successfully track the actual value of the stator resistance for different operating conditions

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