Objective: to consider the impact of responsibility system midwifery care on obstetric maternal delivery mode and maternal and infant outcomes. Method: screening out between our hospital obstetric March, 2021- March, ...Objective: to consider the impact of responsibility system midwifery care on obstetric maternal delivery mode and maternal and infant outcomes. Method: screening out between our hospital obstetric March, 2021- March, 2022 pregnant women 100 cases, combined with the difference of the care mode will be divided into two groups: control group (routine midwifery care) and observation group (midwifery care). Each group has 50 cases, statistical comparison two groups of natural delivery rate, neonatal Apgar score, 2h postpartum bleeding volume, neonatal asphyxia rate, labor time and satisfaction. Results: in terms of natural delivery rate, neonatal Apgar score, and nursing satisfaction, the observation group was significantly higher than the control group, with significant differences, statistical advantages, p0.05;for the neonatal asphyxia rate and labor time, the observation group was significantly smaller than the control group, with significant differences and statistical advantages, p0. 05 Conclusion: applying the responsibility system care mode to obstetric maternal can greatly affect the delivery mode, maternal and infant outcomes. Specifically, it is beneficial to improve the maternal natural delivery rate, neonatal Apgar score, satisfaction, etc., but also can effectively reduce maternal 2h postpartum blood loss, neonatal asphyxia rate, labor time, etc., so has a strong application value.展开更多
Compared to finite impulse response (FIR) filters, infinite impulse response (IIR) filters can match the system better with much fewer coefficients, and hence the computation load is saved and the performance improves...Compared to finite impulse response (FIR) filters, infinite impulse response (IIR) filters can match the system better with much fewer coefficients, and hence the computation load is saved and the performance improves. Therefore, it is attractive to use IIR filters instead of FIR filters in active noise control (ANC). However, filtered-U LMS (FULMS) algorithm, the IIR filter-based algorithm commonly used so far cannot ensure global convergence. A new IIR filter based adaptive algorithm, which can ensure global convergence with computation load only slightly increasing, is proposed in this paper. The new algorithm is called as filtered-e LMS algorithm since the error signal of which need to be filtered. Simulation results show that the FELMS algorithm presents better performance than the FULMS algorithm.展开更多
文摘Objective: to consider the impact of responsibility system midwifery care on obstetric maternal delivery mode and maternal and infant outcomes. Method: screening out between our hospital obstetric March, 2021- March, 2022 pregnant women 100 cases, combined with the difference of the care mode will be divided into two groups: control group (routine midwifery care) and observation group (midwifery care). Each group has 50 cases, statistical comparison two groups of natural delivery rate, neonatal Apgar score, 2h postpartum bleeding volume, neonatal asphyxia rate, labor time and satisfaction. Results: in terms of natural delivery rate, neonatal Apgar score, and nursing satisfaction, the observation group was significantly higher than the control group, with significant differences, statistical advantages, p0.05;for the neonatal asphyxia rate and labor time, the observation group was significantly smaller than the control group, with significant differences and statistical advantages, p0. 05 Conclusion: applying the responsibility system care mode to obstetric maternal can greatly affect the delivery mode, maternal and infant outcomes. Specifically, it is beneficial to improve the maternal natural delivery rate, neonatal Apgar score, satisfaction, etc., but also can effectively reduce maternal 2h postpartum blood loss, neonatal asphyxia rate, labor time, etc., so has a strong application value.
基金This work was supported by the National High Technology Research and Development of China(863 Program:2002AA412410).
文摘Compared to finite impulse response (FIR) filters, infinite impulse response (IIR) filters can match the system better with much fewer coefficients, and hence the computation load is saved and the performance improves. Therefore, it is attractive to use IIR filters instead of FIR filters in active noise control (ANC). However, filtered-U LMS (FULMS) algorithm, the IIR filter-based algorithm commonly used so far cannot ensure global convergence. A new IIR filter based adaptive algorithm, which can ensure global convergence with computation load only slightly increasing, is proposed in this paper. The new algorithm is called as filtered-e LMS algorithm since the error signal of which need to be filtered. Simulation results show that the FELMS algorithm presents better performance than the FULMS algorithm.
