Modeling cardiorespiratory interaction during human sleep with complex networks

Abstract

Human sleep comprises several stages including wake, rapid-eye-movement sleep, light sleep, and deep sleep. Cardiorespiratory activity has been shown to correlate with sleep stages due to the regulation of autonomic nervous system. Here, the cardiorespiratory interaction (CRI) during sleep is analyzed using a visibility graph (VG) method that represents the CRI time series in complex networks. We demonstrate that the dynamics of the interaction between heartbeats and respiration can be revealed by VG-based networks, whereby sleep stages can be characterized and differentiated.