In this study, we investigated plastic optical fiber (POF) pressure sensors embedded in mattresses to measure respiration and heart rate for sleep performance monitoring. The signal is amplified in the circuit using a two-stage amplification scheme to collect weak respiration and heart rate signals while an algorithm was designed to obtain respiration and heart rate. We also propose a good reliability cutting-POF technology which can be used to improve pressure sensitivity. The experimental results indicate that the mattress can distinguish four behavioral states related to sleep (on bed, lying, moving and leaving bed) and can detect respiration and heart rate values in different positions and postures. Validation experiments on 10 participants showed that absolute error was less than one breath per minute and two beats per minute, making our approach suitable for household sleeping monitoring.

在这项研究中，我们研究了嵌入在床垫中的塑料光纤（POF）压力传感器，以测量呼吸和心率，以监测睡眠表现。该信号在电路中使用两级放大方案进行放大，以收集微弱的呼吸和心率信号，同时设计了一种算法来获取呼吸和心率。我们还提出了一种可用于提高压力敏感性的良好可靠性的POF切割技术。实验结果表明，该床垫可以区分与睡眠有关的四种行为状态（在床上，躺着，移动和离开床上），并且可以检测到不同位置和姿势的呼吸和心率值。对10位参与者进行的验证实验表明，绝对错误小于每分钟一次呼吸和每分钟两次跳动，