Research on the evaluation of rectal function after LAR based on CEEMDAN-Fast-ICA algorithm

IF 1.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Peng Zan, Yutong Zhao, Hua Zhong, Yang Yu, Yuanbo Wang, Yijia Shao, Chunyong Li
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Abstract

Rectal cancer is one of the most common lower gastrointestinal diseases worldwide. Currently, the common treatment is low anterior resection (LAR) of the rectum, which preserves the anus of the patient. However, it is easy to cause low anterior resection syndrome after surgery, which has a significant negative impact on the life of patients, and there is no unified evaluation standard for postoperative rectal function. To solve this problem, a multi-sensor fusion rectal information acquisition system is designed in this paper, and a rectal signal processing method is proposed to theoretically evaluate the rectal function of postoperative patients. The method uses the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to decompose the one-dimensional rectal signal to solve the underdetermined ICA problem, uses the Fast independent component analysis (Fast-ICA) to separate the pure rectal signal, uses the wavelet packet to extract features, and uses the particle swarm optimization optimizes support vector machine (PSO-SVM) to classify and evaluate postoperative function. According to the experimental results, the rectal signal preprocessing effect is good, the evaluation prediction rate is 99.5565%, and the algorithm classification results are accurate, which provides a certain preliminary theoretical basis and reference value for the evaluation of rectal function after LAR.

Abstract Image

基于CEEMDAN快速ICA算法的LAR术后直肠功能评价研究
直肠癌症是世界上最常见的下消化道疾病之一。目前,常见的治疗方法是低位直肠前切除术(LAR),它可以保留患者的肛门。但术后易引起低位前切除综合征,对患者生活产生重大负面影响,术后直肠功能也没有统一的评价标准。为了解决这个问题,本文设计了一种多传感器融合直肠信息采集系统,并提出了一种直肠信号处理方法,从理论上评估术后患者的直肠功能。该方法使用带自适应噪声的完全集成经验模式分解(CEEMDAN)对一维直肠信号进行分解以解决欠定ICA问题,使用快速独立分量分析(Fast ICA)对纯直肠信号进行分离,使用小波包提取特征,并利用粒子群优化支持向量机(PSO-SVM)对术后功能进行分类和评价。根据实验结果,直肠信号预处理效果良好,评估预测率为99.55565%,算法分类结果准确,为LAR后直肠功能评估提供了一定的初步理论依据和参考价值。
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来源期刊
Iet Science Measurement & Technology
Iet Science Measurement & Technology 工程技术-工程:电子与电气
CiteScore
4.30
自引率
7.10%
发文量
41
审稿时长
7.5 months
期刊介绍: IET Science, Measurement & Technology publishes papers in science, engineering and technology underpinning electronic and electrical engineering, nanotechnology and medical instrumentation.The emphasis of the journal is on theory, simulation methodologies and measurement techniques. The major themes of the journal are: - electromagnetism including electromagnetic theory, computational electromagnetics and EMC - properties and applications of dielectric, magnetic, magneto-optic, piezoelectric materials down to the nanometre scale - measurement and instrumentation including sensors, actuators, medical instrumentation, fundamentals of measurement including measurement standards, uncertainty, dissemination and calibration Applications are welcome for illustrative purposes but the novelty and originality should focus on the proposed new methods.
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