Study on fetal heart rate variation using a probability distribution matrix

使用概率分布矩阵研究胎儿心率变化

基本信息

批准号：
04454422
负责人：
KOYANAGI Takashi
金额：
$ 4.22万
依托单位：
Kyushu University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (B)
财政年份：
1992
资助国家：
日本
起止时间：
1992 至 1994
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-04454422/
关键词：
Human fetus Fetal heart rate Probability distribution matrix Beat-to beat variability Long-term variability Age-related change Neural control Beat‐to‐beat variability 確率密度図 age‐related change Long‐term variability Beat-to-beat differ

项目摘要

1. We devised a new method using a probability distribution matrix to simultaneously describe variation in the characteristics of fetal heart rate (FHR) and beat-to beat difference (DFHR) between the present and the immediately following FHR.The FHRs were plotted in columns, DFHRs in rows and probabilities in the corresponding elements of the matrix. Analyzed were the age-related changes of FHR data obtained from 743 fetuses at 23-40 weeks' gestation using a pulsed Doppler cardiotocograph with autocorrelation. Three particular probability distribution patterns of FHR vs. DFHR emerged with advance in gestation. The probability distribution matrix presented enables one to condense any amount of FHR data, into one uniform description. This allows analysis of data, en bloc, achieving quantitative inter-group comparison, on an equivalent scale.2. To elucidate the brain segment which would control heart rate changes in human fetuses with advancing gestation, FHR data obtained from 12 anencephalic and 165 uncomplicated fetuses between 25-32 weeks' gestation were analyzed using a probability distribution matrix. There was a critical period between 27-28 and 29-30 weeks' gestation with regard to the developing brain function pertaining to FHR changes. In the early stage, the medulla oblongata plays a role in FHR changes, whereas, in the latter stage, the brain cephalad to the medulla also appears to take on the role of FHR regulator.3. To determine the minimum number of FHRs needed to assess various fetal conditions adequately, analyzed were 9 consecutive two-week interval probability distribution matrices obtained from 743 normal fetuses between 23 and 40 weeks' gestation. The minimum number of FHRs for assessment of the fetus at 23-40 weeks' gestation was almost the same, between 9,000 and 10,000, with 67-75% baseline variability (so called beat-to-beat variability) and 25-33% long-term variability regardless of advance in gestation.

1。我们使用概率分布矩阵设计了一种新方法，以同时描述胎儿心率（FHR）的特征（FHR）和Beat-to-to-to Beat差异（DFHR）之间的变化（DFHR）。FHR之后的FHR绘制了FHR。，dfhrs在矩阵的相应元素中的行和概率。分析的是使用带有自相关的脉冲多普勒心脏摄影，在妊娠23-40周妊娠743个胎儿获得的FHR数据的变化。 FHR与DFHR的三种特殊概率分布模式随着妊娠的进展而出现。提出的概率分布矩阵使一个可以将任何数量的FHR数据凝结成一个均匀的描述。这允许分析数据，整体，以等效量表2。为了阐明将通过妊娠前进的人类胎儿控制心率变化的大脑段，使用概率分布矩阵分析了从12个脚咽和165个简单的胎儿获得25-32周妊娠之间的FHR数据。关于与FHR变化有关的大脑功能的妊娠27-28至29-30周之间的关键时期。在早期阶段，延髓在FHR变化中起着作用，而在后期，脑脑头脑的脑头似乎也扮演了FHR调节剂的作用。3。为了确定充分评估各种胎儿条件所需的最小FHR数量，分析为9个间隔概率分布矩阵，从23至40周之间的743个正常胎儿获得。妊娠23-40周评估胎儿的最小FHR数量几乎相同，在9,000至10,000之间，基线可变性为67-75％（所谓的Beat-to-beat变异性）和25-33％ - 妊娠进展如何，期限可变性。