Thomas Robert Joseph, Mietus Joseph E
Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:1479-82. doi: 10.1109/IEMBS.2011.6090361.
Sleep and wake state have different influences on a variety of recordable signals that make up the polysomnogram. Conventional sleep stages are dependent on analysis of electroencephalogram (EEG) waveforms. Non-EEG approaches can provide a different view of sleep. One such example is the electrocardiogram (ECG) derived sleep spectrogram, which computes the coupling and coherence of heart rate variability and respiratory tidal volume influences on the ECG R wave. Novel insights into sleep physiology and pathology are available through this technique.
睡眠和清醒状态对构成多导睡眠图的各种可记录信号有不同影响。传统睡眠阶段依赖于脑电图(EEG)波形分析。非脑电图方法可以提供不同的睡眠视角。一个这样的例子是心电图(ECG)衍生的睡眠频谱图,它计算心率变异性与呼吸潮气量对心电图R波影响的耦合和相干性。通过这种技术可以获得关于睡眠生理和病理的新见解。