CARDIORESPIRATORY PATTERNS DURING SLEEP AND SIDS RISK

这个项目将研究心脏和呼吸系统的变化， 正常人在不同睡眠和清醒状态下的模式 婴儿猝死综合症风险的婴儿和婴儿 （SIDS）。 目的是确定 发现心脏和呼吸频率和变异性差异 在正常婴儿之间的不同睡眠-觉醒状态期间， SIDS受害者的兄弟姐妹和注定死于SIDS的婴儿。 这些 将对12小时多导记录数据进行研究， 从正常婴儿中收集和观察者状态分类， 婴儿出生后6个月内， 从一组24小时动态记录，从一组正常 后来死于SIDS的婴儿和婴儿。 分钟一 睡眠状态的分钟分类将在 来自心肺功能机器评估的动态数据 参数 心脏搏动间期的变化， 呼吸周期将由时域峰值确定- 槽评估和频域技术。 率 和变异性比较，控制年龄和状态，将 使用多变量技术对不同风险组进行分析。 耦合 心率变化与每时每刻的呼吸 将采用时间序列程序评估变化。 率 风险组中显示的变异性变化将被划分 根据夜间时间以及与24小时和3-4节律的关系。

This project will examine variation in cardiac and respiratory patterning during different sleep and waking states in normal infants and infants at risk for the sudden infant death syndrome (SIDS). The objective is to determine the nature and timing of cardiac and respiratory rate and variability differences found during different sleep-waking states between normal infants, sibling of SIDS victims, and infants destined to die of SIDS. These studies will be carried out on 12-h polygraphic data already collected and observer state-classified from normal infants and siblings of SIDS victims over the first 6 months of life, as well as from a set of 24-h ambulatory recording from a set of normal infants and infants who subsequently died of SIDS. Minute-by minute classification of sleep states will be determined on the ambulatory data from machine assessment of cardiorespiratory parameters. Variation in cardiac beat-to-beat intervals and respiratory periods will be determined with time domain peak- trough assessment and with frequency domain techniques. Rate and variability comparisons, controlled for age and state, will be made across risk groups using multivariate techniques. Coupling of cardiac rate variation with moment-to-moment respiratory changes will be assessed with time series procedures. The rate and variability changes exhibited in risk groups will be partitioned by time of night, and by relationship to the 24-h and 3-4 rhythms.