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睡眠中的心率变异性

Heart period variability in sleep.

作者信息

Vaughn B V, Quint S R, Messenheimer J A, Robertson K R

机构信息

Department of Neurology, University of North Carolina, Chapel Hill 27599-7025, USA.

出版信息

Electroencephalogr Clin Neurophysiol. 1995 Mar;94(3):155-62. doi: 10.1016/0013-4694(94)00270-u.

DOI:10.1016/0013-4694(94)00270-u
PMID:7536150
Abstract

Analysis of heart period variability is a dynamic noninvasive technique to quantify the autonomic control over the heart period. We recorded electroencephalographic, electro-oculographic, electromyographic and electrocardiographic data from 10 normal subjects during sleep using an ambulatory polysomnographic monitor. R-R intervals were determined for 10 min segments of electrocardiographic data from wakefulness, stage 2 sleep, slow wave sleep and REM sleep. Average heart period, instantaneous changes greater than 50 msec and fractal dimension were calculated and the time domain and phase plots were depicted. The R-R interval time domain plots were subsequently analyzed using the discrete Fourier transform. We found sleep stage specific, time domain and frequency domain changes in heart period variability, particularly using spectral analysis of heart period. Increased power in the 0.2-0.4 Hz band was associated with stage 2 sleep when compared to awake and slow wave sleep states. Power in the 0.0-0.04 and 0.04-0.12 Hz bands was increased in association with REM sleep when compared to non-REM sleep, and slow wave sleep had diminished power in all frequency bands. Our results support other investigations demonstrating stage 2 sleep is associated with increased parasympathetic influences and REM sleep is associated with increased sympathetic and neurohumoral influences. We feel that spectral analysis of heart period variability is an effective noninvasive method to quantify changes in the autonomic influences over the heart during sleep.

摘要

心动周期变异性分析是一种动态无创技术,用于量化自主神经系统对心动周期的控制。我们使用便携式多导睡眠监测仪记录了10名正常受试者在睡眠期间的脑电图、眼电图、肌电图和心电图数据。从清醒、2期睡眠、慢波睡眠和快速眼动睡眠的心电图数据中确定10分钟时间段的R-R间期。计算平均心动周期、大于50毫秒的瞬时变化和分形维数,并绘制时域图和相位图。随后使用离散傅里叶变换对R-R间期时域图进行分析。我们发现心动周期变异性在睡眠阶段、时域和频域存在特异性变化,特别是使用心动周期频谱分析时。与清醒和慢波睡眠状态相比,0.2 - 0.4赫兹频段的功率增加与2期睡眠相关。与非快速眼动睡眠相比,0.0 - 0.04赫兹和0.04 - 0.12赫兹频段的功率在快速眼动睡眠时增加,而慢波睡眠在所有频段的功率均降低。我们的结果支持其他研究,表明2期睡眠与副交感神经影响增加有关,快速眼动睡眠与交感神经和神经体液影响增加有关。我们认为心动周期变异性频谱分析是一种有效的无创方法,可用于量化睡眠期间自主神经系统对心脏影响的变化。

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