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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Sensitivity and Adjustment Model of Electrocardiographic Signal Distortion Based on the Electrodes’ Location and Motion Artifacts Reduction for Wearable Monitoring Applications
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Sensitivity and Adjustment Model of Electrocardiographic Signal Distortion Based on the Electrodes’ Location and Motion Artifacts Reduction for Wearable Monitoring Applications

机译：基于电极位置的心电图信号失真的灵敏度和调整模型及其可穿戴监控应用的减少

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摘要

Wearable vital signs monitoring and specially the electrocardiogram have taken important role due to the information that provide about high-risk diseases, it has been evidenced by the needed to increase the health service coverage in home care as has been encouraged by World Health Organization. Some wearables devices have been developed to monitor the Electrocardiographic in which the location of the measurement electrodes is modified respect to the Einthoven model. However, mislocation of the electrodes on the torso can lead to the modification of acquired signals, diagnostic mistakes and misinterpretation of the information in the signal. This work presents a volume conductor evaluation and an Electrocardiographic signal waveform comparison when the location of electrodes is changed, to find a electrodes’ location that reduces distortion of interest signals. In addition, effects of motion artifacts and electrodes’ location on the signal acquisition are evaluated. A group of volunteers was recorded to obtain Electrocardiographic signals, the result was compared with a computational model of the heart behavior through the Ensemble Average Electrocardiographic, Dynamic Time Warping and Signal-to-Noise Ratio methods to quantitatively determine the signal distortion. It was found that while the Einthoven method is followed, it is possible to acquire the Electrocardiographic signal from the patient’s torso or back without a significant difference, and the electrodes position can be moved 6 cm at most from the suggested location by the Einthoven triangle in Mason–Likar’s method.
机译：可穿戴的生命体征监测和特殊的心电图由于提供了关于高风险疾病的信息，所以通过世界卫生组织鼓励的所需卫生服务覆盖所需的所需的信息，这已经证明了重要作用。已经开发了一些可穿戴设备的设备来监视电池的心电图，其中测量电极的位置被修改到欧庇佐载模型。然而，躯干上的电极的错误分配可以导致所获得的信号，诊断错误和信号中信息的误解的修改。当电极的位置改变时，该工作呈现了卷导体评估和心电图信号波形比较，以找到减少感兴趣信号失真的电极位置。另外，评估运动伪影和电极的位置对信号采集的影响。记录了一组志愿者以获得心电图信号，将结果与心脏行为的计算模型进行比较，通过集合平均心电图，动态时间翘曲和信噪比方法来定量地确定信号失真。发现，虽然遵循了以何时的方法，但是可以从患者的躯干或背部获取心电图信号而没有显着差异，并且电极位置可以通过einthoven三角形从建议的位置移动6cm。 Mason-likar的方法。

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