直肠癌治疗过程中sEMG信号的信息分布
The distribution of information for sEMG signals in the rectal cancer treatment process
摘要：
肛门外括约肌的电活动可用表面肌电图记录。已知这些信号是高度复杂和非线性的。这项工作的目的是通过收集信息熵的概念来表征信号中所携带的信息。我们将重点关注复杂性的两个经典度量。首先，讨论了Shannon熵。它与可能状态的概率谱有关。其次介绍了谱熵，它是时域香农特性在频域的简单模拟。我们讨论了功率谱为单独的时间尺度，并提出的特点，它可以代表这个特定的肌肉群的电活动的动态。我们发现，静止态和最大收缩态的熵谱特征有很大的不同，接近正常的收缩和负倾斜的静止态。
英文摘要：
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.
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