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提出一种对围产期胎儿宫内发育和健康状况自动评估分析系统.该系统通过对探头获取的胎心信号、宫缩压信号进行处理,识别出胎心宫缩图的胎心率基线、胎心率加速和减速、胎心率基线变异、宫缩等生理参数指标,并根据计算出的参数值和临床上广泛采用的评分法,完成胎儿在宫内的健康状况评估分析,为妇产科医生提供诊断依据.通过临床试验验证,相比传统的人工判读模式,本系统能够获取较为客观公正的生理参数值,有效避免人工识别的主观性误差,提升围产期胎儿的监护质量.
Abstract：The cardiotocography( CTG) diagnosis was over-depended on manual operation,and the accuracy was affected by subjective judgement and random factors. A computer-aided automatic analysis system was proposed to forecast the health status of the fetus. The Doppler ultrasound probe was used to obtain the relevant physiological signals. And then signals were calculated by the improved algorithm which was widely used in the clinical fetal electronic monitoring to identify the fetal heart rate( FHR) baseline,FHR acceleration,FHR deceleration,FHR baseline variability and other parameter information. The system made decisions based on the parameters,and got the score. The experimental results showed that the automatic system could be more accurate than subjective judgement,the incidence of neonatal asphyxia and cesarean section could be reduced,and the quality of perinatal monitoring could be improved.
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基本信息:
DOI：10.13705/j.issn.1671-6841.2015293
中图分类号:TP399-C8;R714.5
引用信息:
[1]孙海涛,童蕾,陈超敏.胎儿电子监护自动分析系统的设计与实现[J],2016,48(02):65-70.DOI:10.13705/j.issn.1671-6841.2015293.
基金信息:
广东省重大科技专项项目(2012A080104010)
2015-12-08
2015
2016-04-07
2016
2