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首页> 外文期刊>Biomedical and Health Informatics, IEEE Journal of >Beat-by-Beat Quantification of Cardiac Cycle Events Detected From Three-Dimensional Precordial Acceleration Signals
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Beat-by-Beat Quantification of Cardiac Cycle Events Detected From Three-Dimensional Precordial Acceleration Signals

机译:从三维心前区加速度信号检测到的心跳周期事件的逐节律量化

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摘要

The vibrations produced by the cardiovascular system that are coupled to the precordium can be noninvasively detected using accelerometers. This technique is called seismocardiography. Although clinical applications have been proposed for seismocardiography, the physiology underlying the signal is still not clear. The relationship of seismocardiograms of on the back-to-front axis and cardiac events is fairly well known. However, the 3-D seismocardiograms detectable with modern accelerometers have not been quantified in terms of cardiac cycle events. A major reason for this might be the degree of intersubject variability observed in 3-D seismocardiograms. We present a method to quantify 3-D seismocardiography in terms of cardiac cycle events. First, cardiac cycle events are identified from the seismocardiograms, and then, assigned a number based on the location in which the corresponding event was found. 396 cardiac cycle events from 9 healthy subjects and 120 cardiac cycle events from patients suffering from atrial flutter were analyzed. Despite the weak intersubject correlation of the waveforms (0.05, 0.27, and 0.15 for the -, -, and -axes, respectively), the present method managed to find latent similarities in the seismocardiograms of healthy subjects. We observed that in healthy subjects the distribution of cardiac cycle event coordinates was centered on specific locations. These locations were different in patients with atrial flutter. The results suggest that spatial distribution of seismocardiographic cardiac cycle events might be used to discriminate healthy individuals and those with a failing heart.
机译:可以使用加速计以非侵入方式检测由心血管系统产生的与前皮层耦合的振动。这种技术称为地震心动图。尽管已经提出了用于地震心动图的临床应用,但是信号的生理机制仍不清楚。前后心轴的心动图与心脏事件的关系是众所周知的。但是,用现代加速度计可检测到的3D地震心电图尚未在心动周期方面进行量化。造成这种情况的主要原因可能是在3-D地震心电图中观察到的受试者间差异程度。我们提出了一种根据心动周期事件量化3-D地震心动图的方法。首先,从地震心电图中识别出心脏周期事件,然后根据发现相应事件的位置为其分配编号。分析了来自9位健康受试者的396个心动周期事件和来自房扑患者的120个心动周期事件。尽管波形之间的对象间相关性较弱(-,-和-轴分别为0.05、0.27和0.15),但本方法设法在健康受试者的心动图中发现了潜在的相似性。我们观察到,在健康受试者中,心动周期事件坐标的分布集中在特定位置。心房扑动患者的这些位置不同。结果表明,地震心动图心动周期事件的空间分布可用于区分健康个体和心脏衰竭者。

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