Non-invasive Sleep-Wake Discrimination Using LS-CPC Algorithm Based on MZI-BCG Sensor

Abstract

A non-invasive sleep-wake discrimination algorithm based on Mach-Zehnder interferometer (MZI) assisted ballistocardiogram (BCG) sensor is proposed. According to the Lomb-Scargle (LS) periodogram and cardiopulmonary coupling (CPC) algorithm using heart rate variability and respiratory signal, the sleep-wake status could be successfully classified.