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The distribution of information for sEMG signals in the rectal cancer treatment process

机译:直肠癌治疗过程中SEMG信号的信息分布

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The electrical activity of external anal sphincter can be registered with surface electromyography. This signals are known to be highly complex and nonlinear. This work aims in characterisation of the information carried in the signals by harvesting the concept of information entropy. We will focus of two classical measures of the complexity. Firstly the Shannon entropy is addressed. It is related to the probability spectrum of the possible states. Secondly the Spectral entropy is described, as a simple frequency-domain analog of the time-domain Shannon characteristics. We discuss the power spectra for separate time scales and present the characteristics which can represent the dynamics of electrical activity of this specific muscle group. We find that the rest and maximum contraction states represent rather different spectral characteristic of entropy, with close-to-normal contraction and negatively skewed rest state.
机译:外部肛门括约肌的电活动可以在表面肌电图中注册。 已知该信号是高度复杂和非线性的。 这项工作旨在通过收获信息熵的概念来表征信号中携带的信息。 我们将重点重点两种古典措施的复杂性。 首先,Shannon熵得到解决。 它与可能状态的概率谱相关。 其次,描述了光谱熵作为时域Shannon特性的简单频域模拟。 我们讨论单独的时间尺度的功率谱,并呈现可以代表该特定肌肉组的电活动动态的特征。 我们发现其余的和最大收缩状态表示熵的相当不同的光谱特性,具有近常的收缩和负面倾斜状态。

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