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Characterization of electrocardiographic and photoplethysmographic signals contaminated with motion artifacts in the time and frequency domains

机译:在时域和频域中表征被运动伪影污染的心电图和光电容积描记信号

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The problem of motion artifacts that contaminate the physiological signals like the electrocardiography and the photoplethysmography in wearable vital signs monitoring is an issue of particular interest because the increased interest in wearables like diagnostic tools. Currently, devices that allow the measurement of vital signs ambulatory have been develop by researchers and companies. However, measures delivered by these devices are significantly affected by motion artifacts, which has led the development of motion artifacts reduction methods. Because that, deep knowledge concerning the way of these artifacts affect the physiological signals became a clue for the use of wearables in medical diagnosis. In this paper, a method of characterization of electrocardiographic and photoplethysmographic signals in daily life situations is proposed, the signals characterization in time and frequency domains was performed using energy of signals in interest's frequencies. The results of this characterization is presented highlighting the non-stationarity of the signals and the significant differences that exist between the acquired signals at rest and the signals acquired during motion.
机译:在可穿戴生命体征监测中,会污染生理信号(如心电图和光电容积描记术)的运动伪影的问题尤其令人关注,因为对可穿戴设备(如诊断工具)的兴趣日益增加。目前,研究人员和公司已开发出可测量动态生命迹象的设备。但是,由这些设备执行的测量受到运动伪影的显着影响,这导致了运动伪影减少方法的发展。因此,有关这些伪影如何影响生理信号的深入知识成为在医疗诊断中使用可穿戴设备的线索。本文提出了一种在日常生活中表征心电图和光电容积描记图信号的方法,利用感兴趣频率的信号能量对时域和频域进行信号表征。呈现该特征的结果突出了信号的非平稳性以及静止状态下采集的信号与运动期间采集的信号之间存在的显着差异。

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