A novel wearable device integrating ECG and PCG for cardiac health monitoring.

IF 7.3 1区 工程技术 Q1 INSTRUMENTS & INSTRUMENTATION Microsystems & Nanoengineering Pub Date : 2025-01-15 DOI:10.1038/s41378-024-00858-3
Junbin Zang, Qi An, Bo Li, Zhidong Zhang, Libo Gao, Chenyang Xue
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Abstract

The alarming prevalence and mortality rates associated with cardiovascular diseases have emphasized the urgency for innovative detection solutions. Traditional methods, often costly, bulky, and prone to subjectivity, fall short of meeting the need for daily monitoring. Digital and portable wearable monitoring devices have emerged as a promising research frontier. This study introduces a wearable system that integrates electrocardiogram (ECG) and phonocardiogram (PCG) detection. By ingeniously pairing a contact-type PZT heart sound sensing structure with ECG electrodes, the system achieves the acquisition of high-quality ECG and PCG signals. Notably, the signal-to-noise ratios (SNR) for ECG and PCG signals were measured at 44.13 dB and 30.04 dB, respectively, demonstrating the system's remarkable stability across varying conditions. These collected signals were subsequently utilized to derive crucial feature values, including electromechanical delay (EMD), left ventricular ejection time (LVET), and pre-ejection period (PEP). Furthermore, we collected a dataset comprising 40 cases of ECG and PCG signals, enabling a comparative analysis of these three feature parameters between healthy individuals and coronary heart disease patients. This research endeavor presents a significant step forward in the realm of early, non-invasive, and intelligent monitoring of cardiovascular diseases, offering hope for earlier detection and more effective management of these life-threatening conditions.

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一种集成ECG和PCG的新型可穿戴设备,用于心脏健康监测。
与心血管疾病相关的惊人流行率和死亡率强调了创新检测解决办法的紧迫性。传统方法往往成本高、体积大、容易主观,不能满足日常监测的需要。数字和便携式可穿戴监测设备已经成为一个有前途的研究前沿。本研究介绍了一种集心电图(ECG)和心音图(PCG)检测于一体的可穿戴系统。通过巧妙地将接触式PZT心音传感结构与心电电极配对,实现了高质量心电和心电信号的采集。值得注意的是,ECG和PCG信号的信噪比(SNR)分别为44.13 dB和30.04 dB,表明系统在不同条件下具有显著的稳定性。这些收集到的信号随后被用来得出关键的特征值,包括机电延迟(EMD)、左心室射血时间(LVET)和射血前期(PEP)。此外,我们收集了一个包含40例ECG和PCG信号的数据集,以便在健康个体和冠心病患者之间对这三个特征参数进行比较分析。这项研究在心血管疾病的早期、非侵入性和智能监测领域迈出了重要的一步,为早期发现和更有效地管理这些危及生命的疾病提供了希望。
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来源期刊
Microsystems & Nanoengineering
Microsystems & Nanoengineering Materials Science-Materials Science (miscellaneous)
CiteScore
12.00
自引率
3.80%
发文量
123
审稿时长
20 weeks
期刊介绍: Microsystems & Nanoengineering is a comprehensive online journal that focuses on the field of Micro and Nano Electro Mechanical Systems (MEMS and NEMS). It provides a platform for researchers to share their original research findings and review articles in this area. The journal covers a wide range of topics, from fundamental research to practical applications. Published by Springer Nature, in collaboration with the Aerospace Information Research Institute, Chinese Academy of Sciences, and with the support of the State Key Laboratory of Transducer Technology, it is an esteemed publication in the field. As an open access journal, it offers free access to its content, allowing readers from around the world to benefit from the latest developments in MEMS and NEMS.
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