Remote laser-speckle sensing of heart sounds for health assessment and biometric identification [article]

Lucrezia Cester, Ilya Starshynov, Yola Jones, Pierpaolo Pellicori, John GF Cleland, Daniele Faccio
2022 arXiv   pre-print
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
more » ... -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.
arXiv:2204.11978v1 fatcat:2ktlhfjb6vgipiahily4lebnru