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Smart Weighing Scale with Feet-Sampled ECG

机译:带脚采样ECG的智能秤

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摘要

In a smart home, health and well-being monitoring systems could be embedded in everyday devices providing a pervasive care. A home bathroom scale is an example of such a device, typically used to measure body weight and very often its composition (e.g. body water/fat percentage). In this paper, we analyzed a potential use of the bathroom scale to measure electrocardiogram (ECG) from electrodes located on the scale's tile. In particular we used both, simulations and real measurements to analyze the possibility of a such approach. We originally created a simple finite element model to analyze a role of a vector cardiogram projected on the foot-foot lead. We also analyzed results obtained during experiments in which took part (in total) 13 healthy volunteers. They were examined both, in sitting and standing positions. As a result we showed that the quality of the recorded ECG signal from feet is highly related to the electrical vector orientation of the individual's heart. We additionally compared the detected QRS complexes from hands-and feet-sampled ECG for sitting and standing positions. Results showed that for the sitting position the difference was only for 3.6% of all QRS complexes, while for standing one about 24.9%.
机译:在智能家居中,健康和福祉监控系统可以嵌入到日常设备中,以提供无处不在的护理。家用浴室磅秤是这种设备的一个示例,通常用于测量体重,并且通常用于测量其成分(例如,人体水分/脂肪百分比)。在本文中,我们分析了使用浴室秤的潜在用途,该方法可用来测量位于秤板上的电极上的心电图(ECG)。特别是,我们同时使用了模拟和实际测量来分析这种方法的可能性。我们最初创建了一个简单的有限元模型来分析矢量心电图投射在脚-脚导线上的作用。我们还分析了在实验中获得的结果,参与(总共)13名健康志愿者。他们都坐着和站着都接受了检查。结果表明,脚部记录的ECG信号的质量与个人心脏的电矢量方向高度相关。我们还比较了从手和脚采样的ECG中检测到的QRS复合体在坐姿和站立位的情况。结果表明,就坐位而言,差异仅占所有QRS复合体的3.6%,而站立时的差异约为24.9%。

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