Remote laser-speckle sensing of heart sounds for health assessment and biometric identification.
Remote laser-speckle sensing of heart sounds for health assessment and biometric identification.
复制标题
用于健康评估和生物识别的心音的远程激光散斑感测。
DOI：
10.1364/boe.451416
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发表时间：
2022-07-01
影响因子：
3.4
通讯作者：
Faccio, Daniele
中科院分区：
文献类型：
--
作者：
Cester, Lucrezia;Starshynov, Ilya;Jones, Yola;Pellicori, Pierpaolo;Cleland, John G. F.;Faccio, Daniele
心音评估是心脏检查的基石，但它需要听诊器、技能和经验，以及与患者的直接接触。我们开发了一种非接触式、机器学习辅助的心音识别和量化方法，该方法基于对健康个体颈部皮肤表面反射激光散斑的远程测量。我们在心跳声音生物识别这一示例任务上，将这种方法的性能与标准数字听诊器记录进行了比较。我们表明，我们的方法优于听诊器，甚至能够对在不同日期采集的测试数据进行识别。这种方法可能有助于开发用于在不同环境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.