PDF(Pubmed)
Abstract：
This study explores the feasibility of a wearable system to monitor vital signs during sleep. The system incorporates five inertial measurement units (IMUs) located on the waist, the arms, and the legs. To evaluate the performance of a novel framework, twenty-three participants underwent a sleep study, and vital signs, including respiratory rate (RR) and heart rate (HR), were monitored via polysomnography (PSG). The dataset comprises individuals with varying severity of sleep-disordered breathing (SDB). Using a single IMU sensor positioned at the waist, strong correlations of more than 0.95 with the PSG-derived vital signs were obtained. Low inter-participant mean absolute errors of about 0.66 breaths/min and 1.32 beats/min were achieved, for RR and HR, respectively. The percentage of data available for analysis, representing the time coverage, was 98.3% for RR estimation and 78.3% for HR estimation. Nevertheless, the fusion of data from IMUs positioned at the arms and legs enhanced the inter-participant time coverage of HR estimation by over 15%. These findings imply that the proposed methodology can be used for vital sign monitoring during sleep, paving the way for a comprehensive understanding of sleep quality in individuals with SDB.
摘要：
这项研究探讨了可穿戴系统在睡眠期间监测生命体征的可行性。该系统包含位于腰部的五个惯性测量单元（IMU），武器，还有腿.为了评估一个新框架的性能，23名参与者接受了睡眠研究，和生命体征，包括呼吸频率（RR）和心率（HR），通过多导睡眠图（PSG）进行监测。数据集包括具有不同严重程度的睡眠呼吸紊乱(SDB)的个体。使用位于腰部的单个IMU传感器，与PSG衍生的生命体征具有超过0.95的强相关性。参与者之间的平均绝对误差约为0.66次呼吸/分钟和1.32次心跳/分钟。对于RR和HR，分别。可用于分析的数据百分比，代表时间覆盖范围，RR估计为98.3%，HR估计为78.3%。然而，来自位于手臂和腿部的IMU的数据融合将HR估计的参与者间时间覆盖率提高了15%以上.这些发现意味着所提出的方法可以用于睡眠期间的生命体征监测，为全面了解SDB患者的睡眠质量铺平了道路。
