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Sample Entropy of sEMG Signals at Different Stages of Rectal Cancer Treatment

机译:直肠癌治疗不同阶段sEMG信号的样本熵

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摘要

Information theory provides a spectrum of nonlinear methods capable of grasping an internal structure of a signal together with an insight into its complex nature. In this work, we discuss the usefulness of the selected entropy techniques for a description of the information carried by the surface electromyography signals during colorectal cancer treatment. The electrical activity of the external anal sphincter can serve as a potential source of knowledge of the actual state of the patient who underwent a common surgery for rectal cancer in the form of anterior or lower anterior resection. The calculation of Sample entropy parameters has been extended to multiple time scales in terms of the Multiscale Sample Entropy. The specific values of the entropy measures and their dependence on the time scales were analyzed with regard to the time elapsed since the operation, the type of surgical treatment and also the different depths of the rectum canal. The Mann–Whitney U test and Anova Friedman statistics indicate the statistically significant differences among all of stages of treatment and for all consecutive depths of rectum area for the estimated Sample Entropy. The further analysis at the multiple time scales signify the substantial differences among compared stages of treatment in the group of patients who underwent the lower anterior resection.
机译:信息论提供了一系列非线性方法,这些方法能够掌握信号的内部结构,并深入了解其复杂性。在这项工作中,我们讨论了选择的熵技术对大肠癌治疗过程中表面肌电信号所携带信息的描述的有用性。肛门外括约肌的电活动可以作为了解患者的实际状况的潜在来源,该患者接受了以前切除术或前切除术形式进行的直肠癌普通手术。就多尺度样本熵而言,样本熵参数的计算已扩展到多个时间尺度。根据手术后经过的时间,手术治疗的类型以及直肠管的不同深度,分析了熵测度的具体值及其对时标的依赖性。 Mann-Whitney U检验和Anova Friedman统计表明,对于估计的样本熵,在治疗的所有阶段之间以及直肠区域的所有连续深度之间,统计上的显着差异。在多个时间尺度上的进一步分析表明,在接受了较低的前切除术的患者组中,比较治疗阶段之间存在实质性差异。

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