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Time-frequency and time-scaling analysis of time-varying properties of renal autoregulatory mechanisms

机译:肾脏自我调节机制时变特性的时频和时标分析

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In order to assess the possible time-varying properties of renal autoregulation, time-frequency/time-scaling methods were applied to whole kidney renal blood flow data obtained from normotensive rats and hypertensive rats, under forced blood pressure fluctuations. The time-frequency analyses show that both the myogenic and tubuloglomerular feedback (TGF) mechanisms have time-varying characteristics. Furthermore, Renyi entropy was utilized to measure the complexity of blood flow dynamics in the time-frequency plane in an effort to discern differences between normotensive and hypertensive recordings. The results indicate more complex dynamics in the hypertensive condition. To further evaluate whether the separation of dynamics between normotensive and hypertensive rats is found in the prescribed frequency ranges of the myogenic and TGF mechanisms, we employed multiresolution wavelet transform. Our analysis reveal that exclusively over scale ranges corresponding to the frequency intervals of the myogenic and TGF mechanisms, the widths of the blood flow wavelet coefficients fall into disjoint sets for normotensive and hypertensive rats.
机译:为了评估肾脏自动调节的可能时变特性,在强制性血压波动的情况下,将时频/时标方法应用于从正常血压大鼠和高血压大鼠获得的全肾肾脏血流量数据。时频分析表明,肌原性和肾小管肾小球反馈(TGF)机制均具有随时间变化的特征。此外,Renyi熵被用来测量时频平面中血流动力学的复杂性,以试图辨别血压正常记录和高血压记录之间的差异。结果表明在高血压情况下更复杂的动力学。为了进一步评估是否在规定的成肌和TGF机制的频率范围内发现了降血压和高血压大鼠之间的动力学分离,我们采用了多分辨率小波变换。我们的分析显示,仅在与肌源性和TGF机制的频率间隔相对应的尺度范围内,血压正常和高血压大鼠的血流小波系数的宽度落入不相交的集合中。

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