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

被引：8

作者：

Cester, Lucrezia ^{[1
]}

Starshynov, Ilya ^{[1
]}

Jones, Yola ^{[2
]}

Pellicori, Pierpaolo ^{[2
]}

Cleland, John G. F. ^{[2
]}

Faccio, Daniele ^{[1
]}

机构：

[1] Univ Glasgow, Sch Phys & Astron, Glasgow G12 8QQ, Lanark, Scotland

[2] Univ Glasgow, Robertson Ctr Biostat & Clin Trials, Glasgow G12 8QQ, Lanark, Scotland

来源：

BIOMEDICAL OPTICS EXPRESS | 2022年 / 13卷 / 07期

基金：

英国工程与自然科学研究理事会; 英国医学研究理事会;

关键词：

D O I：

10.1364/BOE.451416

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：3743 / 3750

页数：8

共 33 条

[1] Biometric authentication based on PCG and ECG signals: present status and future directions [J].