Groome L J, Mooney D M, Bentz L S, Singh K P
Department of Obstetrics and Gynecology, University of South Alabama, Mobile 36617.
Early Hum Dev. 1994 Jul;38(1):1-9. doi: 10.1016/0378-3782(94)90045-0.
Respiratory sinus arrhythmia (RSA) is a clinical manifestation of the parasympathetic nervous system which can be identified in the high-frequency region of the heart rate variability (HRV) power spectrum. The purpose of this study was to determine the relative contribution of RSA to overall HRV for human fetuses in quiet sleep. The study population consisted of 13 normal human fetuses between 36 and 40 weeks of gestation for whom data were collected during spontaneous breathing and normally occurring apneic periods. Fetal breathing was monitored continuously using real-time sonography. The fetal electrocardiogram was captured transabdominally in 3-min blocks at a rate of 833 Hz and fetal R-waves were extracted from the raw signal using adaptive signal processing techniques. Fetal behavioral state was determined at the beginning and end of each 3-min data collection period. The fetal R-wave interbeat intervals (IBIs) were converted to equally-spaced, time-based data, and linear detrending of the time series was accomplished by subtracting the mean heart period from each weighted IBI. Total power (TP, 0.0-2.5 Hz) was divided into RSA (0.4-1.0 Hz), high-frequency (HF, 0.2-2.5 Hz), low-frequency (LF, 0.04-0.2 Hz), and very-low-frequency (VLF, 0.0-0.04 Hz) regions, and the power densities were summed to determine the absolute power for each frequency component. A total of 81 3-min blocks (mean per subject 6.3, range 2-14) were available for analysis. Eleven (85%) of 13 fetuses demonstrated a HF peak during fetal breathing, and RSA accounted for approximately 20% of the TP.(ABSTRACT TRUNCATED AT 250 WORDS)
呼吸性窦性心律不齐(RSA)是副交感神经系统的一种临床表现,可在心率变异性(HRV)功率谱的高频区域中识别出来。本研究的目的是确定RSA对安静睡眠中的人类胎儿整体HRV的相对贡献。研究对象包括13名妊娠36至40周的正常人类胎儿,在他们自然呼吸和正常出现呼吸暂停期间收集数据。使用实时超声心动图持续监测胎儿呼吸。经腹部以833 Hz的频率每3分钟采集一次胎儿心电图,并使用自适应信号处理技术从原始信号中提取胎儿R波。在每个3分钟数据收集期开始和结束时确定胎儿行为状态。将胎儿R波的心动周期(IBI)转换为等间隔的基于时间的数据,并通过从每个加权IBI中减去平均心动周期来完成时间序列的线性去趋势化。总功率(TP,0.0 - 2.5 Hz)分为RSA(0.4 - 1.0 Hz)、高频(HF,0.2 - 2.5 Hz)、低频(LF,0.04 - 0.2 Hz)和极低频(VLF,0.0 - 0.04 Hz)区域,并对功率密度求和以确定每个频率成分的绝对功率。总共81个3分钟的数据块(每个受试者平均6.3个,范围2 - 14个)可用于分析。13名胎儿中有11名(85%)在胎儿呼吸期间出现HF峰值,RSA约占TP的20%。(摘要截断于250字)