论文标题
心脏声音的远程激光螺旋传感健康评估和生物识别识别
Remote laser-speckle sensing of heart sounds for health assessment and biometric identification
论文作者
论文摘要
心脏声音的评估是心脏检查的基石，但需要听诊器，技能和经验以及与患者直接接触。我们开发了一种基于健康个体中反射的激光斑点的远程测量，开发了一种无接触式的机器学习辅助方法，用于心脏单调识别和定量。我们将此方法与标准数字听诊器记录进行比较，在心跳声识别的示例任务上。我们表明，我们的方法胜过听诊器，甚至允许在不同日期获取的测试数据上识别。这种方法可能允许开发用于在不同情况下远程监测心血管健康的设备。
Assessment of heart sounds is the cornerstone of cardiac examination, but it requires a stethoscope, skills and experience, and a direct contact with the patient. We developed a contactless, machine-learning assisted method for heart-sound identification and quantification based on the remote measurement of the reflected laser speckle from the neck skin surface in healthy individuals. We compare the performance of this method to standard digital stethoscope recordings on an example task of heart-beat sound biometric identification. We show that our method outperforms the stethoscope even allowing identification on the test data taken on different days. This method might allow development of devices for remote monitoring of cardiovascular health in different settings.
