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Synthesizing equivalent electric circuit for respiration and cardiac signals

机译:合成呼吸和心脏信号的等效电路

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Modeling of the cardiac cycle and respiration signals helps to understand the characterization of these functions and determines any disorders of the heart and lungs function. In this research, Matlab software have been used to synthesize two equivalent electric circuit networks from signals of breathing and non-breathing. The signals are generated from a piezoelectric sensor placed on the chest. Prony toolbox have been used to extract transfer function that represents the signals, then Foster method have been utilized to synthesize the circuit networks. The equivalent circuits included five resonators with an inductance in series in the case of the heart beat signal. At breathing signal, the effect of the lungs added to the previous circuit a capacitor in series with the other components.
机译:对心动周期和呼吸信号进行建模有助于理解这些功能的特性,并确定心脏和肺功能的任何障碍。在这项研究中,已使用Matlab软件从呼吸和非呼吸信号合成两个等效的电路网络。信号从放在胸部的压电传感器产生。 Prony工具箱已被用于提取表示信号的传递函数,然后Foster方法已被用于合成电路网络。在心跳信号的情况下,等效电路包括五个串联电感的谐振器。在呼吸信号时,肺部的影响在前面的电路中增加了一个与其他组件串联的电容器。

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