Heart period variability in sleep.

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.