基于MZI-BCG传感器的LS-CPC算法无创睡眠-觉醒识别

2022 20th International Conference on Optical Communications and Networks (ICOCN) Pub Date : 2022-08-12 DOI:10.1109/ICOCN55511.2022.9901061

Yifei Feng, Wei Xu, Ying He, Q. Ge, Yilong Yang

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引用次数: 0

摘要

提出了一种基于Mach-Zehnder干涉仪(MZI)辅助超声心动图(BCG)传感器的无创睡眠-觉醒识别算法。根据Lomb-Scargle (LS)周期图和结合心率变异性和呼吸信号的心肺耦合(CPC)算法，可以成功地对睡眠-觉醒状态进行分类。

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

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.

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2022 20th International Conference on Optical Communications and Networks (ICOCN)

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