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Quantifying and Reducing Posture-Dependent Distortion in Ballistocardiogram Measurements

机译:量化和减少心电图测量中姿势相关的失真

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Ballistocardiography is a noninvasive measurement of the mechanical movement of the body caused by cardiac ejection of blood. Recent studies have demonstrated that ballistocardiogram (BCG) signals can be measured using a modified home weighing scale and used to track changes in myocardial contractility and cardiac output. With this approach, the BCG can potentially be used both for preventive screening and for chronic disease management applications. However, for achieving high signal quality, subjects are required to stand still on the scale in an upright position for the measurement; the effects of intentional (for user comfort) or unintentional (due to user error) modifications in the position or posture of the subject during the measurement have not been investigated in the existing literature. In this study, we quantified the effects of different standing and seated postures on the measured BCG signals, and on the most salient BCG-derived features compared to reference standard measurements (e.g., impedance cardiography). We determined that the standing upright posture led to the least distorted signals as hypothesized, and that the correlation between BCG-derived timing interval features (R-J interval) and the preejection period, PEP (measured using ICG), decreased significantly with impaired posture or sitting position. We further implemented two novel approaches to improve the PEP estimates from other standing and sitting postures, using system identification and improved J-wave detection methods. These approaches can improve the usability of standing BCG measurements in unsupervised settings (i.e., the home), by improving the robustness to nonideal posture, as well as enabling high-quality seated BCG measurements.
机译:心脏冲击描记法是对心脏的血液喷射引起的身体机械运动的无创测量。最近的研究表明,可以使用修改后的家用体重秤来测量心动描记图(BCG)信号,并将其用于跟踪心肌收缩力和心输出量的变化。通过这种方法,BCG可以潜在地用于预防性筛查和慢性疾病管理应用。但是,为了获得较高的信号质量,需要使被测者直立在秤上进行测量。在现有文献中尚未研究对象在测量过程中有意(为了用户舒适)或无意(由于用户错误)改变的效果。在这项研究中,我们量化了不同站立和坐姿对测得的BCG信号以及与参考标准测量值(例如阻抗心动图)相比最显着的BCG衍生特征的影响。我们确定直立的姿势导致假设的失真最小,并且BCG衍生的时间间隔特征(RJ间隔)与射血前期PEP(使用ICG测量)之间的相关性随着姿势或坐姿受损而显着降低位置。我们使用系统识别和改进的J波检测方法,进一步实现了两种新颖的方法来改善其他站立和坐姿的PEP估计值。这些方法可通过提高对非理想姿势的鲁棒性并实现高质量的坐式BCG测量,来提高无人看管的站立BCG测量的可用性(即在家中)。

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