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非标准导联电极放置策略在心电图信号采集中的应用。

Non-Standard Electrode Placement Strategies for ECG Signal Acquisition.

机构信息

Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia.

出版信息

Sensors (Basel). 2022 Dec 1;22(23):9351. doi: 10.3390/s22239351.

Abstract

BACKGROUND

Wearable technologies for monitoring cardiovascular parameters, including electrocardiography (ECG) and impedance cardiography (ICG), propose a challenging research subject. The expectancy for wearable devices to be unobtrusive and miniaturized sets a goal to develop smarter devices and better methods for signal acquisition, processing, and decision-making.

METHODS

In this work, non-standard electrode placement configurations (EPC) on the thoracic area and single arm were experimented for ECG signal acquisition. The locations were selected for joint acquisition of ECG and ICG, targeted to suitability for integrating into wearable devices. The methodology for comparing the detected signals of ECG was developed, presented, and applied to determine the R, S, and T waves and RR interval. An algorithm was proposed to distinguish the R waves in the case of large T waves.

RESULTS

Results show the feasibility of using non-standard EPCs, manifesting in recognizable signal waveforms with reasonable quality for post-processing. A considerably lower median sensitivity of R wave was verified (27.3%) compared with T wave (49%) and S wave (44.9%) throughout the used data. The proposed algorithm for distinguishing R wave from large T wave shows satisfactory results.

CONCLUSIONS

The most suitable non-standard locations for ECG monitoring in conjunction with ICG were determined and proposed.

摘要

背景

可穿戴技术可用于监测心血管参数,包括心电图(ECG)和阻抗心电图(ICG),这是一个具有挑战性的研究课题。可穿戴设备的期望是不引人注意和小型化,这就需要开发更智能的设备和更好的信号采集、处理和决策方法。

方法

在这项工作中,我们在胸部区域和单臂上尝试了非标准的电极放置配置(EPC)来进行 ECG 信号采集。这些位置是为联合采集 ECG 和 ICG 而选择的,旨在适合集成到可穿戴设备中。我们提出并应用了一种用于比较 ECG 检测信号的方法,以确定 R、S 和 T 波以及 RR 间隔。我们还提出了一种算法,用于在 T 波较大的情况下区分 R 波。

结果

结果表明,使用非标准 EPC 是可行的,表现为可识别的信号波形,具有合理的后处理质量。与 T 波(49%)和 S 波(44.9%)相比,整个使用数据中 R 波的平均灵敏度要低得多(27.3%)。用于从大 T 波中区分 R 波的建议算法显示出令人满意的结果。

结论

确定并提出了最适合与 ICG 联合监测 ECG 的非标准位置。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdaf/9740955/62a892dc02d5/sensors-22-09351-g001.jpg

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