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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:心动周期和呼吸信号的建模有助于了解这些功能的表征,并确定心脏和肺功能的任何疾病。在本研究中,MATLAB软件已被用于从呼吸和非呼吸信号中合成两个等效电路网络。信号由放置在胸部上的压电传感器产生。 Prony Toolbox已被用于提取表示信号的传递函数,然后已经利用培养方法来合成电路网络。等效电路包括在心跳信号的情况下串联具有电感的五个谐振器。在呼吸信号时,肺部加入到先前电路的效果与其他部件串联电容器。

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