Establishment of noninvasive analytical methods for autonomic nervous function in mammals and their application

利用心率变异性的功率谱分析来评估人体心脏自主神经流出量的研究已有很多。然而，研究还没有做一个比较的角度来看，看到不同动物物种的心率变异性的功率谱的模式。因此，本研究的目的是首先阐明各种动物心率变异性的功率谱模式，并确定可用于评估心脏自主流出的成分范围。第二，评估这种功率谱分析，看看它是否可以用来检测动物自主神经流出的潜在差异。通过遥测或栓系系统记录清醒和无束缚动物的心电图（ECG）。使用心电图处理器在计算机上分析心电图。每组数据进行快速傅立叶变换，以获得波动的功率谱。在心率变异性的功率谱中，在所有动物中观察到似乎来自呼吸性窦性心律失常（高频（HF）分量）和动脉血压调节的节律性（低频（LF）分量）的几个主要谱分量。但是这些成分的功率和频率范围在每个动物物种中都是不同的。因此，我们确定了每种动物种属的最合适范围。这些成分的存在使我们相信心率变异性功率谱的HF功率、LF功率和LF/HF可作为各种动物心脏自主神经流出量的有用指标。此外，功率谱分析反映了许多治疗引起的自主神经流出的潜在差异。这些结果表明，心率变异性的功率谱分析可能是一个有用的工具，在评估心脏自主流出非invavively在各种动物物种。

Many studies have been made to assess cardiac autonomic outflow in humans by using power spectral analysis of heart rate variability. However, studies have not been done in a comparative view to see the patterns of the power spectrum of heart rate variability in various animal species. Therefore, the aim of this study was first, to clarify the patterns of power spectrum of heart rate variability in various animals and to determine the range of the components which may be used to assess the autonomic outflow to the heart. And second, to evaluate this power spectral analysis to see if it can be used to detect the underlying differences of autonomic outflow in animals. Electrocardiogram (ECG) was recorded from conscious and unrestrained animals by telemetry or tethering system. ECG was analyzed on a computer using ECG Processor. Each set of data underwent fast Fourier transform to obtain the power spectrum of the fluctuation. In the power spectrum of heart rate variability, several major spectral components which seemed to derive from respiratory sinus arrhythmia (high frequency (HF) component) and rhythmicity of arterial blood pressure regulation (low frequency (LF) component) were observed in all of the animals. But the power and the frequency range of these components differed in each animal species. Therefore, we have determined the most appropriate ranges in each animal species. The existence of these components lead us to believe the possibility of using HF power, LF power and LF/HF of heart rate variability power spectrum as an useful index for cardiac autonomic outflow in various animal species. Moreover, the power spectral analysis reflected the underlying differences of autonomic outflow induced by many treatments. These results suggest that the power spectral analysis of heart rate variability may be an useful tool in assessing cardiac autonomic outflow noninvavively in various animal species.