A novel wearable device integrating ECG and PCG for cardiac health monitoring
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...
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Language: | English |
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Nature Publishing Group
2025-01-01
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Series: | Microsystems & Nanoengineering |
Online Access: | https://doi.org/10.1038/s41378-024-00858-3 |
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author | Junbin Zang Qi An Bo Li Zhidong Zhang Libo Gao Chenyang Xue |
author_facet | Junbin Zang Qi An Bo Li Zhidong Zhang Libo Gao Chenyang Xue |
author_sort | Junbin Zang |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-7d89be2ab16e4121a0fd075e64284f2a |
institution | Kabale University |
issn | 2055-7434 |
language | English |
publishDate | 2025-01-01 |
publisher | Nature Publishing Group |
record_format | Article |
series | Microsystems & Nanoengineering |
spelling | doaj-art-7d89be2ab16e4121a0fd075e64284f2a2025-01-19T12:27:03ZengNature Publishing GroupMicrosystems & Nanoengineering2055-74342025-01-0111111310.1038/s41378-024-00858-3A novel wearable device integrating ECG and PCG for cardiac health monitoringJunbin Zang0Qi An1Bo Li2Zhidong Zhang3Libo Gao4Chenyang Xue5College of Information Engineering, Shanxi College of TechnologyKey Laboratory of Instrumentation Science and Dynamic Measurement Ministry of Education, North University of ChinaKey Laboratory of Instrumentation Science and Dynamic Measurement Ministry of Education, North University of ChinaKey Laboratory of Instrumentation Science and Dynamic Measurement Ministry of Education, North University of ChinaDepartment of Mechanical and Electrical Engineering, Xiamen UniversityKey Laboratory of Instrumentation Science and Dynamic Measurement Ministry of Education, North University of ChinaAbstract 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.https://doi.org/10.1038/s41378-024-00858-3 |
spellingShingle | Junbin Zang Qi An Bo Li Zhidong Zhang Libo Gao Chenyang Xue A novel wearable device integrating ECG and PCG for cardiac health monitoring Microsystems & Nanoengineering |
title | A novel wearable device integrating ECG and PCG for cardiac health monitoring |
title_full | A novel wearable device integrating ECG and PCG for cardiac health monitoring |
title_fullStr | A novel wearable device integrating ECG and PCG for cardiac health monitoring |
title_full_unstemmed | A novel wearable device integrating ECG and PCG for cardiac health monitoring |
title_short | A novel wearable device integrating ECG and PCG for cardiac health monitoring |
title_sort | novel wearable device integrating ecg and pcg for cardiac health monitoring |
url | https://doi.org/10.1038/s41378-024-00858-3 |
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