利用雷达信号的高级信号处理技术进行非接触式心音检测。

IF 6.7 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Muhammad Farooq, Syed Aziz Shah, Dingchang Zheng, Ahmad Taha, Muhammad Imran, Qammer H Abbasi, Hasan Tahir Abbas
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引用次数: 0

摘要

非接触式生命体征检测可提供精确、便捷的病人监测,从而推动医疗保健的发展。这种开创性的方法不仅能简化监测过程,还能连续、实时地评估生命体征,及早发现异常并及时干预。本文介绍了一种利用连续波(CW)雷达和先进信号处理技术进行非接触式生命体征检测的新型框架。与地面真实心电图信号相比,我们捕获了 1261 个基于雷达的心音波形样本,实现了前所未有的精确度。此外,我们的心音方法还能获得高度精确的人体心脏脉搏读数,其平均绝对百分比误差 (MAPE) 为 0.0129,平均绝对误差 (MAE) 低于 1 (0.8712),超过了之前的基准。此外,我们还从心音波形中得出了心率,并将其与传统雷达得出的心率和地面真实心电信号进行了比较。通过分析,我们确定了传统雷达方法存在局限性的区域。我们的方法在所有心率状态下都表现出最小的误差和卓越的准确性,有可能为无创生命体征监测设定新的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contactless Heart Sound detection using Advanced Signal Processing Exploiting Radar Signals.

Contactless vital signs detection has the potential to advance healthcare by offering precise and convenient patient monitoring. This groundbreaking approach not only streamlines the monitoring process, but also allows continuous, real-time assessment of vital signs, allowing early detection of anomalies and prompt intervention. This paper presents a novel framework for contactless vital signs detection using continuous-wave (CW) radar and advanced signal processing techniques. We achieved unprecedented precision in capturing 1,261 samples for radar based heart sound waveforms compared to the ground truth ECG signal. Further, our heart sounds method yields highly accurate human heart pulse readings, surpassing previous benchmarks with a mean absolute percentage error (MAPE) of 0.0129 and mean absolute error (MAE) below one (0.8712). In addition, we derived heart rates from the heart sound waveforms and compare them with conventional radar-derived heart rates and ground truth ECG signal. Through analysis, we identified regions where conventional radar based methods exhibit limitations. Our approach demonstrates minimal errors and superior accuracy across all heart rate states, which can potentially set new standards for noninvasive vital sign monitoring.

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来源期刊
IEEE Journal of Biomedical and Health Informatics
IEEE Journal of Biomedical and Health Informatics COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
13.60
自引率
6.50%
发文量
1151
期刊介绍: IEEE Journal of Biomedical and Health Informatics publishes original papers presenting recent advances where information and communication technologies intersect with health, healthcare, life sciences, and biomedicine. Topics include acquisition, transmission, storage, retrieval, management, and analysis of biomedical and health information. The journal covers applications of information technologies in healthcare, patient monitoring, preventive care, early disease diagnosis, therapy discovery, and personalized treatment protocols. It explores electronic medical and health records, clinical information systems, decision support systems, medical and biological imaging informatics, wearable systems, body area/sensor networks, and more. Integration-related topics like interoperability, evidence-based medicine, and secure patient data are also addressed.
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