基于毫米波MIMO雷达的多主体心音远程监测

IF 6.9 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Isabella Lenz;Yu Rong;Adarsh A. Venkataramani;Daniel W. Bliss
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引用次数: 0

摘要

这项工作提出了一种新的使用毫米波雷达技术的非接触式心音监测方法。所提出的系统能够同时从多个受试者处采集心音,为传统听诊器提供了一种非接触式和高效的替代方案,传统听诊器受限于需要直接接触和无法同时监测多个受试者。这种基于雷达的心音系统可以探测到心脏通过胸腔的机械运动引起的表面皮肤振动。它将这些机械位移转换成时频信号,用于心音分析。该系统采用调频连续波雷达,具有优化的心音记录参数。开发了完整的雷达信号处理链,包括利用时间特征自动检测和定位目标、空间波束形成分离多目标信号和心音信号提取。实验结果表明,该系统能够同时捕获多达三个受试者的不同心音特征,其心率与参考数字听诊器获得的心率相匹配。这些发现突出了毫米波雷达技术在先进生物医学传感应用中的潜力,可以在临床和非临床环境中对多个个体进行远程和同时监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Subject Remote Heart Sound Monitoring Using mmWave MIMO RADAR
This work presents a novel non-contact heart sound monitoring approach using millimeter-wave RADAR technology. The proposed system enables simultaneous heart sound acquisition from multiple subjects, offering a contactless and efficient alternative to traditional stethoscopes, which are limited by the need for direct contact and the inability to monitor multiple subjects concurrently. The RADAR-based heart sound system detects surface skin vibrations induced by the heart's mechanical motions through the chest cavity. It translates these mechanical displacements into time-frequency signals for heart sound analysis. The system employs a Frequency-Modulated Continuous-Wave RADAR with optimized parameters for heart sound recording. A complete RADAR signal processing chain is developed, incorporating automatic subject detection and localization using temporal features, spatial beamforming to separate signals from multiple subjects, and heart sound signal extraction. Experimental results demonstrate the system's capability to capture distinct heart sound signatures from up to three subjects simultaneously, with heart rates matching those obtained from reference digital stethoscopes. These findings highlight the potential of millimeter-wave RADAR technology for advanced biomedical sensing applications, enabling remote and simultaneous monitoring of multiple individuals in clinical and non-clinical environments.
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来源期刊
CiteScore
10.70
自引率
0.00%
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审稿时长
8 weeks
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