课题基金 / 基金详情

CARDIORESPIRATORY PATTERNS DURING SLEEP AND SIDS RISK

CARDIORESPIRATORY PATTERNS DURING SLEEP AND SIDS RISK
睡眠期间的心肺模式和婴儿猝死综合症风险
批准号:
3322108
负责人:
RONALD Marven HARPER
金额:
$7.86万
依托单位国家:
美国
项目类别:
财政年份:
1987
资助国家:
美国
项目状态:
已结题
起止时间:
1987-09-01 至 1990-08-31

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项目成果

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中文摘要
翻译
这个项目将检查心脏和呼吸系统的变化。 正常情况下不同睡眠和清醒状态下的图案 面临婴儿猝死综合征风险的婴幼儿 (小岛屿发展中国家)。目标是确定性质和时机 发现心脏和呼吸频率和变异性的差异 在正常婴儿之间不同的睡眠唤醒状态下, 小岛屿发展中国家受害者的兄弟姐妹,以及注定要死于小岛屿发展中国家的婴儿。这些 将对12小时测绘数据进行研究 从正常婴儿和婴儿收集和观察状态分类 小岛屿发展中国家受害者的前6个月的兄弟姐妹,以及 来自一组24小时动态记录来自一组正常 随后死于小岛屿发展中国家的婴儿和婴儿。分钟数 睡眠状态的细微分类将在 来自心肺功能机器评估的动态数据 参数。心搏间期和心搏间期的变异 呼吸周期将用时间域峰值来确定- 通过评估和频域技术。费率 而根据年龄和状态控制的变异性比较将是 使用多变量技术在风险组之间进行调查。偶联 心率随时刻呼吸的变化 变化将通过时间序列程序进行评估。利率 在风险组中表现出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。
英文摘要
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.
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