开放式同步心电图和心音图数据库。

IF 2.3 4区 医学 Q3 BIOPHYSICS
Arsalan Kazemnejad, Sajjad Karimi, Peiman Gordany, Gari D. Clifford, Reza Sameni
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引用次数: 0

摘要

目标 EPHNOGRAM 项目旨在开发一种低成本、低功耗的设备,用于同时记录心电图和 PCG,并增加环境音频通道,通过主动降噪增强 PCG。其目的是研究心脏的多模态电子机械活动,深入了解这些模态在不同心脏活动水平下的差异和协同作用。方法:我们开发并测试了几种心电图-PCG 同步采集设备的硬件原型。利用这项技术,我们在室内健身中心收集了 24 名健康成年人在不同体育活动中的同步心电图和 PCG 数据,包括休息、步行、跑步和骑固定自行车。我们开发了一款强大的软件来检测心电图的 R 峰和 PCG 的 S1 和 S2 分量,并在人类专家的监督下对数据进行注释。我们还利用基于心电图、基于 PCG 和心电图-PCG 联合特征(如 R-R 和 S1-S2 间隔)开发了机器学习模型,用于对体力活动进行分类和分析电子机械动力学。主要结果:结果显示心电图和 PCG 成分之间存在明显的耦合,尤其是在高强度运动时。基于 S2 的心率的显著微小变化显示了心脏电气和机械功能的差异。Lomb-Scargle 周期图和近似熵分析证实,与基于心电图的心率相比,基于 S2 的心率具有更高的波动性。相关性分析表明,在高强度活动时,R-R 和 R-S1 间期之间的耦合更强。通过 mRMR 特征选择和 SHAP 值分析,发现心电图-PCG 混合特征(如 R-S2 间期)对体力活动分类更有参考价值。意义重大:EPHNOGRAM 数据库可在 PhysioNet 上查阅。该数据库加深了我们对心脏功能的了解,有助于今后对心脏的机械和电气相互关系进行研究。这项研究的结果有助于改善心脏状况诊断。此外,所设计的硬件还有可能集成到可穿戴设备中,开发多模态压力测试技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An open-access simultaneous electrocardiogram and phonocardiogram database.
OBJECTIVE The EPHNOGRAM project aimed to develop a low-cost, low-power device for simultaneous ECG and PCG recording, with additional channels for environmental audio to enhance PCG through active noise cancellation. The objective was to study multimodal electro-mechanical activities of the heart, offering insights into the differences and synergies between these modalities during various cardiac activity levels. Approach: We developed and tested several hardware prototypes of a simultaneous ECG-PCG acquisition device. Using this technology, we collected simultaneous ECG and PCG data from 24 healthy adults during different physical activities, including resting, walking, running, and stationary biking, in an indoor fitness center. The data were annotated using a robust software that we developed for detecting ECG R-peaks and PCG S1 and S2 components, and overseen by a human expert. We also developed machine learning models using ECG-based, PCG-based, and joint ECG-PCG features, like R-R and S1-S2 intervals, to classify physical activities and analyze electro-mechanical dynamics. Main Results: The results show a significant coupling between ECG and PCG components, especially during high-intensity exercise. Notable micro-variations in S2-based heart rate show differences in the heart's electrical and mechanical functions. The Lomb-Scargle periodogram and approximate entropy analyses confirm the higher volatility of S2-based heart rate compared to ECG-based heart rate. Correlation analysis shows stronger coupling between R-R and R-S1 intervals during high-intensity activities. Hybrid ECG-PCG features, like the R-S2 interval, were identified as more informative for physical activity classification through mRMR feature selection and SHAP value analysis. Significance: The EPHNOGRAM database, is available on PhysioNet. The database enhances our understanding of cardiac function, enabling future studies on the heart's mechanical and electrical interrelationships. The results of this study can contribute to improved cardiac condition diagnoses. Additionally, the designed hardware has the potential for integration into wearable devices and the development of multimodal stress test technologies.
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来源期刊
Physiological measurement
Physiological measurement 生物-工程:生物医学
CiteScore
5.50
自引率
9.40%
发文量
124
审稿时长
3 months
期刊介绍: Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.
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