Estimation of Fetal Weight by Single Multiplicative Neuron Model Using Symphysis-Fundus Height
Estimation of fetal weight is used for maternity care management, especially in counseling, differential diagnoses, detection of intrauterine growth retardation and the mode of delivery. The aim of the present study was to evaluate the accuracy of using single multiplicative neuron model for estimation of fetal weight after 24 weeks gestation. Four-hundred and sixty-seven patients with a healthy, singleton pregnancy, whom fetal biometry measurements were routinely performed by ultrasound (US), considered as the training group. 4 input variables were used to construct single multiplicative neuron model: abdominal circumference (AC), head circumference (HC), femur length (FL) and symphysis-fundus height (SFH). AC, HC, FL parameters were measured by US and SFH parameter measure clinically. Also a total of 205 fetuses were assessed subsequently as the validation group. In the validation group the mean absolute error and the mean absolute percent error was 190.22 g and 6.89％ respectively. In conclusion, using symphisis-fundus height within single multiplicative neuron model could provide acceptable US estimation of fetal weight.
component ultrasound fetal weight estimation single multiplicative neuron model symphysis-fundus lenght
Hanieh Mohammadi Somayeh Saraf Esmaili Mercedeh Jahanseir Zohreh Allahmoradi Farzaneh Samiee
Dept. Biomedical Engineering Science and research Branch, Islamic Azad University Tehran, Iran
国际会议
2010 International Conference on Measurement and Control Engineering(2010年IEEE测量与控制工程国际会议 ICMCE2010)
成都
英文
636-640
2010-11-16（万方平台首次上网日期，不代表论文的发表时间）