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The Approach to Processing of Biomedical Experimental Results

机译:生物医学实验结果的处理方法

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摘要

As a rule, experimental data distorted by disturbances can be described by unknown function y = f (x). Graphs permit visual evaluation of qualitative properties of such process, despite disturbances and measurement errors. Graphs which depict the same process inside biological object can substantially differ one from the other due to specifics of object, implemented number of observations, noise level, etc. Without considering this, the shape of a curve characterizes parameters of the researched object or process.
机译:通常,可以通过未知函数y = f(x)来描述由于干扰而失真的实验数据。尽管存在干扰和测量误差,但图形仍可以直观地评估该过程的质量。由于对象的具体情况,实施的观察次数,噪声水平等原因,描绘生物对象内部相同过程的图形可能彼此之间存在很大差异。在不考虑这一点的情况下,曲线的形状可以表征研究对象或过程的参数。

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